dedup-isc-ft-v107-score
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0.415807 |
e24dbf24ef4848ed85f677294a7055cf
|
Group Task-Activation Maps for Controls and Patients for Naming and Semantic Decision TasksFor both tasks, maps were similar for controls (A, D) and patients (B, E) and exhibited a high degree of consistency with expected areas based on the respective meta-analytic mask. Percent of each cohort activating is shown as a conjunction of the individuals in each cohort thresholded voxelwise p < 0.001, uncorrected. C and F show the extent of independently defined meta-analytic masks defining task-specific language cortex (red) and language-capable cortex (green).
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PMC9280993
|
WNL-2022-200569f2.jpg
|
0.406744 |
a3462351a28545b29b6bf7d253489c73
|
Results From Models of Effect of Group (Patient vs Control) on Brain-wide Activation by Tissue Type and Distance From Lesion (X Axes) for the Naming Task and for the Semantic Decision TaskThe y axis shows estimate of the effect of group status () and 95% CI. An asterisk indicates a significant difference between patients and controls (p < 0.01). The discontinuity in the x axes indicates that the rightmost data points included all voxels beyond the perilesional shell. Results are shown for language cortex (A, B), language-capable cortex (C, D), and nonlanguage cortex (E, F). For the naming task, patient activation was reduced in language and language-capable tissue up to 12 mm from the lesion boundary and up to 4 mm for nonlanguage tissue. For the semantic decision task, activation was reduced in language and language-capable tissue up to 8 mm from the lesion boundary.
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PMC9280993
|
WNL-2022-200569f3.jpg
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0.424281 |
bb8b533c62a243ef96675d17db51a925
|
Regional Differences in Patient vs Control Activity on 2 Language Mapping Tasks, Including Naming and Semantic DecisionResults are shown separately for perilesional tissue (4–16 mm of lesion boundary; top) and for tissue distant from the lesion (>16 mm from lesion boundary; bottom). In the naming task, (A) no regions near the lesion exhibited increased activation, but decreased activation was evident in frontal, parietal, and occipital lobes. (B) Far from the lesion, the decreased occipital lobe activation persisted, and 1 frontal lobe parcel exhibited increased activation. In the semantic decision task, (C) perilesional superior frontal sulcus and lateral occipital cortex exhibited increased activation, but (D) this increased activation was also evident in tissue distant from the lesion along with increased activity in other regions. Blue parcels, controls > people with aphasia; red parcels, people with aphasia > controls; p < 0.05, Benjamini–Hochberg false discovery rate.
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PMC9280993
|
WNL-2022-200569f4.jpg
|
0.446389 |
51a9d7b5fb0f48dbb42c078afd83af13
|
Scatterplots of, Lines of Best Fit for, and Correlation Coefficients Between Activation and Lesion Volume in Perilesional Cortex and Cortex far From the Lesion for the Naming Task and Semantic Decision Task(A, B) Perilesional cortex (4–12 mm from lesion boundary); (C, D) cortex far from the lesion (>16 mm from lesion boundary); (A, C) naming task; (B, D) semantic decision task. Scatterplots are shown for language cortex (black circles), language-capable cortex (red triangles), and nonlanguage cortex (magenta squares). The y axis is the average t statistic for the task contrast within the relevant mask, with each marker representing a single participant with aphasia. The x axis represents lesion volume in cubic centimeters (cc). Mean activation for controls is shown as a dark gray line, with 95% CI as a gray band. Results of linear mixed effects models of the effect of group (aphasia vs control) on activity in language tissue are also shown for small lesions (<50 cc) and large lesions (>100 cc). *p < 0.05, **p < 0.001. In the naming task, lesion volume was significantly inversely related to activity for both language and language-capable cortex regardless of distance from lesion. In the semantic decision task, lesion volume was inversely related to activity in language and language-capable cortex, but only far from the lesion. For both tasks, in language cortex, patients with small lesions exhibited activity no different from controls, whereas patients with large lesions exhibited reduced activity relative to controls, regardless of distance from the lesion.
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PMC9280993
|
WNL-2022-200569f5.jpg
|
0.433776 |
b5a7be27910b4ed3a8485e4213b6674e
|
Study design of the different data collection moments during the two different weaning strategies (top figure) and the three step downgrading of pressure support (bottom figure). CRF = case record file, Pes = esophageal pressure, RIP = respiratory inductance plethysmography
|
PMC9281016
|
12931_2022_2106_Fig1_HTML.jpg
|
0.45457 |
1cc6a2ec88b34676a6f0090c25af0d89
|
The work of breathing calculated through the gold standard, the Campbell diagram (Joules/L). a shows the work of breathing during the different weaning strategies. b shows the work of breathing during downtapering of pressure support. *p < 0.05
|
PMC9281016
|
12931_2022_2106_Fig2_HTML.jpg
|
0.443835 |
b02c2ceabbfb4d85958f87b313f20e53
|
The work of breathing calculated through measuring the difference in esophageal pressure (∆Pes) in cmH2O. a shows the ∆Pes during the different weaning strategies. b shows the ∆Pes during downtapering of pressure support. *p < 0.05
|
PMC9281016
|
12931_2022_2106_Fig3_HTML.jpg
|
0.455694 |
b61d745f722244c5a7cd1861ee385ef4
|
The AnyCheck® implant stability test (IST) device
|
PMC9281038
|
12903_2022_2320_Fig1_HTML.jpg
|
0.4367 |
484f5decd1ce4d5ca778c68c46c7a418
|
The Osstell® implant stability quotient (ISQ) device
|
PMC9281038
|
12903_2022_2320_Fig2_HTML.jpg
|
0.450713 |
dce4b5d3e0a04c2ebc02e969b4abe195
|
Comparison of the mean implant stability test (IST) and implant stability quotient (ISQ) values at different times post-implantation
|
PMC9281038
|
12903_2022_2320_Fig3_HTML.jpg
|
0.487052 |
0d3ab375a90e44f582c8e75162b56cd1
|
Correlation between the AnyCheck® and Osstell® at each measurement point
|
PMC9281038
|
12903_2022_2320_Fig4_HTML.jpg
|
0.379273 |
b3e7bdcfc0e04eb39ea730ccae171e2c
|
Visual depiction of the high- and low-TP “Words” used in the auditory streams. High-TP, high-transitional probability “words”; Low-TP, low-transitional probability “words.”
|
PMC9282164
|
fpsyg-13-905762-g001.jpg
|
0.486906 |
bb63244f861441e0af67b3d2bd9a2c43
|
Illustration of the experimental procedure. (A) Illustrates the timeline of the experimental procedure in which the implicit and, subsequently, the explicit aSL task were administered. Each aSL task comprised three parts: instructions (B), familiarization (C), and test (D) phases. Each task was initiated with specific instructions that determined the conditions under which each of the aSL tasks was performed either without (Implicit aSL) or with the previous knowledge of the task and the structure of the stream used in the experiment (Explicit aSL). In the familiarization or exposure phase of both tasks during which EEG data were collected, participants were presented with a continuous auditory stream of four high-TP and four low-TP “words,” with chirp sounds (depicted as a speaker icon on the figure) superimposed over specific syllables. The chirp sounds could emerge at any of the three syllable positions of the “words,” which precluded its use as a cue for “word” segmentation. During this phase, participants had to perform a chirp detection task. Then, the test phase in each of the aSL tasks consisted of a two-alternative forced-choice (2-AFC) task asking participants to indicate which of the three-syllable sequences (a “word” and a foil) sounded more familiar based on the stream presented during the previous familiarization phase.
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PMC9282164
|
fpsyg-13-905762-g002.jpg
|
0.419344 |
bfb6a8f99db44d9c800ac4cb06afe6f9
|
Accuracy Rates (Proportion of Correct Identifications) in the 2-AFC Tasks Performed under Implicit and Explicit Conditions for the high- and low-TP “Words” in the DLD and TLD Groups. DLD, developmental language disorder group; TLD, typical language development group. The dots represent the scores obtained by each participant in each of the conditions (aSL task and type of “word”) per group (DLD and TLD) while the horizontal black solid lines in each of these cases represent the mean of the group in each of these conditions.
|
PMC9282164
|
fpsyg-13-905762-g003.jpg
|
0.517351 |
6c30fbaaab554155b88d4c1f7556a9cd
|
Grand-Averaged Waveforms (Central ROI) and Topographic Maps in the DLD and TLD Groups. In the up panel, the gray shadowed rectangles indicate the analyzed time windows (N100 and N400). DLD, developmental language disorder group: Light red solid line = implicit high-TP condition; Light red dotted line = implicit low-TP condition; Dark red solid line = explicit high-TP condition; Dark red dotted line = explicit low-TP condition. TLD: typical language development group: Light blue solid line = implicit high-TP condition; Light blue dotted line = implicit low-TP condition; Dark blue solid line = explicit high-TP condition; and Dark blue dotted line = explicit low-TP condition. In the bottom panel, values of the topographical images range from −3 to 3 μV in each group and condition.
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PMC9282164
|
fpsyg-13-905762-g004.jpg
|
0.503621 |
a93b10203f8e4f66bd82caa2da14cd1e
|
Graphical representation of the Group Effect Observed in the N400 Component for the Implicit and Explicit aSL Tasks as a Function of Type of “Word” and Length of Exposure. Gray shadowed rectangles indicate the N400 time window. (A) Group effect in the first half of the implicit aSL task in the high-TP condition. Light red solid line = Development language disorder group; Light blue solid line = Typical language development group. (B) Group effect in the first half of the explicit aSL task in the low-TP condition. Dark red dotted line = Development language disorder group; Dark blue dotted line = Typical language development group. (C) Group effect in the second half of the aSL explicit task in the high-TP condition. Dark red solid line = Development language disorder group; Dark blue solid line = Typical language development group.
|
PMC9282164
|
fpsyg-13-905762-g005.jpg
|
0.452039 |
ad73460e929647bea1daa672a7bc0d5f
|
Graphical representation of the aSL Task Effect observed in the N400 Component in the TLD Group as a Function of Type of “Word” and Length of Exposure. Gray shadowed rectangles indicate the N400 time window. (A) Task effect in the first half of the explicit aSL task in the TLD group for the low-TP condition. Light blue dotted line = implicit aSL task; Dark blue dotted line = explicit aSL task. (B) Task effect in the second half of the explicit aSL in the TLD group for the high-TP condition. Light blue solid line = implicit aSL task; Dark blue solid line = explicit aSL task.
|
PMC9282164
|
fpsyg-13-905762-g006.jpg
|
0.5403 |
8f05cfebe1294421a247a307b34e447a
|
Graphical representation of the Length of Exposure (Panel A) and Type of “Word” (Panel B) Effects Observed in the N400 Component in the Explicit aSL in the TLD Group. Gray shadowed rectangles indicate the N400 time window. (A) Length of exposure effect in the first half of the aSL explicit task in the TLD group. (B) “Word” effect in the second half of the explicit aSL task in the DLD group. Dark blue solid line = high-TP condition; Dark blue dotted line = low-TP condition.
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PMC9282164
|
fpsyg-13-905762-g007.jpg
|
0.468741 |
3622490d0d2b472e9aa6620dc5995785
|
Study design and analysis.
|
PMC9282909
|
gr1_lrg.jpg
|
0.433814 |
c51df245f7294ae5adbc521387107e8e
|
(A) The estimated unadjusted Kaplan–Meier survivor functions for the primary composite outcome in COVID-19+ (solid line) and COVID-19− (dashed line) cohorts. (B) The estimated unadjusted Kaplan–Meier survivor functions for all-cause mortality in COVID-19+ COVID-19+ (solid line) and COVID-19− (dashed line) cohorts. The table below the graph shows the number at risk in each group at every 100 days of follow-up. The number of primary composite outcome events at every 100 days of follow-up is shown in parenthesis.
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PMC9282909
|
gr2_lrg.jpg
|
0.463184 |
548efc0401fa46e2b65eef577ebc0b7c
|
Weekly distribution of covid positive cases and death counts (worldwide) as of 25th March,2022 [1].
|
PMC9283670
|
gr1_lrg.jpg
|
0.465514 |
b8985e03d5b6477487a2b5d6e94bddb1
|
Sample images of CXRs for all three classes taken from the COVID-X dataset.
|
PMC9283670
|
gr2_lrg.jpg
|
0.404051 |
14f03745f2424c94af83b47f74cf6844
|
Schematic diagram of our proposed methodology which consists of: (I) Acquisition and Preprocessing of input CXRs, (II) Transfer Learning upon the DenseNet-201 CNN architecture, (III) Generation of multiple Snapshots with Cosine Annealing (Section 3.4.2) with only one training phase, and (IV) Ensemble of classifiers using blending algorithm with RF meta-learner to yield prediction, available for medical practitioners.
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PMC9283670
|
gr3_lrg.jpg
|
0.425686 |
b9d5eca7528b4768a1cc90f4cdf2b2b7
|
Sample chest X-ray scan images taken from COVID-X dataset [30] showing: (a) COVID-19 positive and (b) Pneumonia cases.
|
PMC9283670
|
gr4_lrg.jpg
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0.481721 |
eef8a20d2e3a415fa9a70e8a443e4c9b
|
Shows a cyclic learning rate while following the cosine function providing a warm restart after every 10 epochs.
|
PMC9283670
|
gr5_lrg.jpg
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0.374332 |
51f8aa136c9f41c08ee572d6ef62884a
|
Performance of base CNN classifiers.
|
PMC9283670
|
gr6_lrg.jpg
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0.408044 |
755a551a6ace4170bb208f1cb8564f4d
|
Confusion Matrices.
|
PMC9283670
|
gr7_lrg.jpg
|
0.481608 |
b90194a6849e49ee929f7cfe38853a1f
|
The frequency of responses for each Likert point for the perceived length of the year since lockdown began.
|
PMC9286236
|
pone.0271609.g001.jpg
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0.407512 |
3294535af4df49f894d2dc018dfbe840
|
LINC01554 expression was downregulated in NSCLC and associated with its prognosis. (a) LINC01554 expression level in LUSC from TCGA database. (b) Survival analysis based on LINC01554 expression levels in LUSC patients from high and low expression groups. (c) LINC01554 expression level in LUAD from TCGA database. (d) Survival analysis based on LINC01554 expression levels in LUAD patients from high and low expression groups.
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PMC9286878
|
BMRI2022-7162623.001.jpg
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0.460822 |
301304ecdeac42f68a3cd58b426fc630
|
LINC01554 overexpression suppressed NSCLC cell proliferation. (a) The relative expression of LINC01554 in NSCLC cell lines and normal human bronchial epithelial cell lines was verified via RT-qPCR. (b) pcDNA3.1-LINC01554, the empty pcDNA3.1 vector, si-NC, and si-LINC01554 were transfected in H23, H1299, and NCI-H520 cells, and the transfection efficiency was determined via RT-qPCR. (c) Cell viability was tested via the MTT assay. (d) Cell vitality was detected via a colony formation assay. ∗P < 0.05, and ∗∗P < 0.01.
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PMC9286878
|
BMRI2022-7162623.002.jpg
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0.437275 |
cf9fb29c203249b6a9ed05773473f5f5
|
LINC01554 overexpression suppressed NSCLC cell migration and invasion. (a) Cell migration was detected and quantitated via the wound healing assay in H23, H1299, and NCI-H520 cells. (b) Cell invasion was tested and quantitated via the transwell assay in H23, H1299, and NCI-H520 cells. (c) E-cadherin, snail, and vimentin expression were detected and quantitated via western blotting. (d) The photograph of the tumours. (e) Tumour volume and (f) tumour weight were determined. ∗P < 0.05, and ∗∗P < 0.01.
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PMC9286878
|
BMRI2022-7162623.003.jpg
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0.466172 |
b57050498200498cb95fed7d93fcd0e9
|
LINC01554 expression directly targeted miR-1267 expression, which in turn directly regulated ING3 expression. (a) Predicted binding sites between LINC01554 and miR-1267. (b) The binding of miR-1267 to LINC01554 was confirmed via the dual-luciferase reporter assay. (c) Predicted binding sites between miR-1267 and ING3. (d) The binding of ING3 to miR-1267 was verified via the dual-luciferase reporter gene assay. (e) Relative expression of miR-1267 in H23 and H1299 cells was examined via RT-qPCR. (f) ING3 expression level was detected via western blotting. ∗∗P < 0.01.
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PMC9286878
|
BMRI2022-7162623.004.jpg
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0.437342 |
0470c4a45c894e7785f2ab023a991d63
|
miR-1267 overexpression reversed the LINC01554 upregulation–induced tumour-suppressive effects on NSCLC cells. (a) The vitality of H23 and H1299 cells was tested via the MTT assay. (b) Cell migration was detected and quantitated via the wound healing assay in H23 and H1299 cells. (c) Cell invasion was tested and quantitated via the transwell assay in H23 and H1299 cells. (d) E-cadherin, snail, and vimentin expression were detected via western blotting. ∗P < 0.05, and ∗∗P < 0.01.
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PMC9286878
|
BMRI2022-7162623.005.jpg
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0.411387 |
228423560c9341479de78a83ef1b0b5e
|
Both LINC01554 and miR-1267 overexpression modulated the ING3/Akt/mTOR pathway. (a, b) LINC01554 was associated with Akt/mTOR signalling. (c) The expression of ING3 and Akt/mTOR pathway-related proteins (Akt, p-Akt, mTOR, and p-mTOR) was detected via western blotting and quantitated in H23 and H1299 cells treated with pcDNA3.1-LINC01554 and the empty pcDNA3.1 vector. (d) The expression of ING3 and Akt/mTOR pathway-related proteins (Akt, p-Akt, mTOR, and p-mTOR) was detected via western blotting and quantitated in H23 and H1299 cells treated with pcDNA3.1-LINC01554 and the empty pcDNA3.1 vector, miR-1267 mimic, and NC mimic.
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PMC9286878
|
BMRI2022-7162623.006.jpg
|
0.432401 |
4ab93e18b4564546904b6e8b0792e7b8
|
CONSORT flowchart for the P-PERSoN trial.
|
PMC9286967
|
ARP2022-4659795.001.jpg
|
0.434889 |
da973a299a3c4717a1fe728cd48e9c9d
|
Comparison of rat weight among groups. M group: male healthy control group; F group: female healthy control group; MC group: male model control group; FC group: female model control group. N = 8 per group.
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PMC9286992
|
ABB2022-4079533.001.jpg
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0.487293 |
352fba72548f481988e4d195f54a64bd
|
Comparison of distension volume threshold to reach AWR score = 3 among groups before NUCB2/Nesfatin-1 intervention. N = 8 per group.
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PMC9286992
|
ABB2022-4079533.002.jpg
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0.478029 |
06a9e65b681545279f86738637562598
|
Colon tissue HE staining of rats in the model group. Magnification, ×200.
|
PMC9286992
|
ABB2022-4079533.003.jpg
|
0.498455 |
30f047291d8e49c59225cd8fa9a3a302
|
Comparison of myeloperoxidase (MPO) activity of colon tissue among groups. N = 8 per group.
|
PMC9286992
|
ABB2022-4079533.004.jpg
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0.425866 |
b820e4691dff4a53864e46377d330534
|
Comparison of distension volume threshold to reach AWR score = 3 among groups after NUCB2/Nesfatin-1 intervention. N = 8 per group. ∗P < 0.05, compared with the MC group; #P < 0.05, compared with the FC group. MC group: male model control group; MC+NCI group: NUCB2/Nesfatin-1 central intervention group; MC+SCI group: central intervention control group; MC+NPI group: NUCB2/Nesfatin-1 peripheral intervention group; MC+SPI group: peripheral intervention control group; FC group: female model control group; FC+NCI group: NUCB2/Nesfatin-1 central intervention group; FC+SCI group: central intervention control group; FC+NPI group: NUCB2/Nesfatin-1 peripheral intervention group; FC+SPI group: peripheral intervention control group;
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PMC9286992
|
ABB2022-4079533.005.jpg
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0.440558 |
700609089bf24315afb199a9dc715b0a
|
Comparison of abdominal withdraw reflex (AWR) = 3 points external oblique muscle electrical activity. N = 8 per group. ∗P < 0.05, compared with the MC group; #P < 0.05, compared with the FC group.
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PMC9286992
|
ABB2022-4079533.006.jpg
|
0.482002 |
9ae32fef18b14df198da240c8182c280
|
External oblique muscle electrical activity in all groups after NUCB2/NUCB2/Nesfatin-1 intervention.
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PMC9286992
|
ABB2022-4079533.007.jpg
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0.479881 |
75db931dd5874b8ba10e5b6a70e81618
|
Prevalence of comorbidities (percentage with 95% confidence interval) diagnosed or treated by a physician during the last 12 months in the Finnish Spinal Cord Injury study (884 participants) and the reference population (Ref.).
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PMC9287167
|
41393_2021_704_Fig1_HTML.jpg
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0.449125 |
23084db4d7c343bfa4de6d3a696950f0
|
Prevalence of secondary health conditions (percentage with 95% confidence interval) in the Finnish Spinal Cord Injury study (884 participants).
|
PMC9287167
|
41393_2021_704_Fig2_HTML.jpg
|
0.454635 |
03e96ec9e14a4c1684f91e47a26bd82a
|
Changes in outdoor activity participation rates (by type of outdoor recreation) before and during the COVID-19 pandemic for adults in the United States (n = 2178). Mean activity scores ranged from 0 (never participate) to 2 (often participate). Bars represent 95% confidence intervals.
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PMC9287538
|
gr1_lrg.jpg
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0.476732 |
b15daced0ffe41eaa55235b8d5529bb3
|
Changes in subjective well-being scores by changes in rates of outdoor activity (a) and nature-based activity (b) participation pre and during the COVID-19 pandemic for adults in the United States (n = 2178). Mean activity scores ranged from 0 (at no time) to 3 (all of the time). Bars represent 95% confidence intervals.
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PMC9287538
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gr2_lrg.jpg
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0.450207 |
c837dd4d5b0349d5921095284870dc32
|
ROC curves for BMI to detect an excess PBF in men (A) and women (B)
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PMC9288404
|
IJPH-51-851-g001.jpg
|
0.488687 |
0a9cd4292e9f45d4a258517e1287774c
|
The relation between PBF and prevalence of cardio-metabolic abnormalities in men (A) and women (B). Metabolic syndrome defined as three or more of five criteria (1) FPG ≥100 mg/dl (IFG) or drug treatment; (2) TG ≥150mg/dl or drug treatment; (3) HDL< 50 mg/dl in women and < 40 mg/dl in men or drug treatment; (4) hypertension defined as SBP ≥ 130 mmHg, DBP ≥ 85 mmHg or antihypertensive drug treatment (5) Abdominal obesity, WC cut off points as ≥ 89 cm for men and ≥ 91cm for women. High cholesterol, cholesterol ≥ 200 (mg/dl)
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PMC9288404
|
IJPH-51-851-g002.jpg
|
0.378501 |
3e1dc58bb78145dbbcc673983bfbc271
|
Spatial control of transgene expression in mouse artery with ultrasound. a The mouse carotid artery can be localized by color Doppler ultrasound imaging. By changing the size and position of color box, the ultrasound image can be zoomed to the area of interest so that ultrasound was focused to this area. After MBs injection, the MBs can be destroyed, as evidenced by the color “blooming” phenomenon. b AAV gene vector carrying the expression cassette for EGFP. ITR, internal terminal repeats; CAG, a hybrid construct consisting of the cytomegalovirus (CMV) enhancer fused to the chicken beta-actin promoter. c Illustration of UMGAAV protocol. After MB injection, ultrasound irradiation was applied to the area of interest for 30 s. Following AAV injection, the mouse was sacrificed at specific time points for qPCR analysis using 18S as an internal control. d Representative 3-D view of confocal assessment of EGFP expression in LCA and RCA. EGFP was immunostained with EGFP antibody (red). The DAPI staining marks cell nuclei (blue). The green autofluorescence was from the internal elastic lamina (IEL). e Transgene expression of EGFP in endothelial cells (ECs) and medial and adventitial layer (M + A) of LCA and RCA at different time points post AAV injection. The time interval between MB and AAV injection was ~5 min. f Quantification of AAV fluorescence in LCA and RCA. Fluorescently-labeled AAV was injected after ultrasound treatment in LCA and the mice were sacrificed at 1 h and 3 h post injection. The AAV fluorescence in the arteries were quantified. g Representative image of mouse suprarenal abdominal aorta (SAA) and infrarenal abdominal aorta (IAA) with color Doppler imaging. h Transgene expression of EGFP in SAA and IAA when SAA or IAA was treated with ultrasound. i The mouse femoral artery can be detected with contrast-enhanced ultrasound imaging. After focusing the ultrasound to the major branch of femoral artery, the MBs can be selectively destroyed with color Doppler ultrasound imaging. j Transgene expression of EGFP in mouse femoral artery when right femoral artery (RFA) was treated while the left femoral artery (LFA) was untreated. k Expression of KLK10 in arterial endothelium in mice with different treatments. Saline, mice were injected with saline only; US&MB only, LCA were treated with ultrasound after MB injection; AAV9-EGFP + US&MB, the mice were injected with AAV9 expressing EGFP after ultrasound treatment; AAV9-KLK10 only, the mice were injected with AAV9-KLK10 without ultrasound treatment; AAV9-KLK10 + US&MB, the mice were injected with AAV9-KLK10 after ultrasound treatment. l
En face VCAM1 staining of carotid artery. The arteries were immunostained with VCAM1 antibody (red). The DAPI staining marks cell nuclei (blue). The green autofluorescence was from IEL. m Representative bright-field images of aortic trees (top lane) and the Oil-Red-O staining (middle lane) and anti-CD45 immunostaining (bottom lane) of frozen sections prepared from the middle parts of these arteries. CD45 was immunostained in red. The DAPI staining marks cell nuclei (blue). The green autofluorescence was from IEL. L, lumen of the artery. n Quantification of lesion area in LCA. o Quantification of plaque size determined with the Oil-Red-O-stained sections. p–r Quantification of VCAM1 (p), CD45 (q), and KLK10 (r) expression according to the immunostaining of the frozen sections. Data shown as mean ± s.e.m; *P < 0.05; **P < 0.01; ***P < 0.001; ns, P > 0.05 as determined by Student’s t-test
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PMC9288995
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41392_2022_1031_Fig1_HTML.jpg
|
0.448186 |
a7003b50afa84e1e938e174f338a4182
|
The primary symptoms of OAB and UTI overlap. Urinary frequency, urinary urgency, and nocturia are key symptoms associated with both OAB and acute UTI. Clinically, OAB is differentiated from acute UTI by the absence of bacteriuria and/or a negative dip-stick test.
|
PMC9289139
|
fphys-13-886782-g001.jpg
|
0.454518 |
539fb36b50e646a98b8b68de53bbf3c6
|
Mechanisms underlying urinary tract infection induced bladder hypersensitivity. Uropathogenic E. coli (UPEC) invade urothelial cells during bladder colonisation. UPEC infection evokes an inflammatory response and the recruitment and activation of immune cells. UPEC also form intracellular bacterial colonies (IBCs) to evade the immune system and prolong urothelial colonisation. UPEC infection induces urothelial sloughing and apoptosis, increasing bladder permeability and allowing the toxic contents of the urine and bacteria to access the underlying interstitium. In response to damage, immune cells and the urothelium also release cytokines, chemokines, and neurotransmitters that can bind to receptors and ion channels on the peripheral ends of bladder-innervating sensory neurons. Immune and urothelial cell secretions, bacteria, and urine combine to sensitise the peripheral ends of bladder neurons. Sensitised neurons respond to bladder distension with higher intensity firing. This exaggerated signal travels to the spinal cord and activates second order neurons that travel to the brainstem and brain to induce exaggerated bladder sensation.
|
PMC9289139
|
fphys-13-886782-g002.jpg
|
0.441281 |
6a44778d0f2c4db58862fda99eb6325c
|
Potential etiological cascade and pathogenesis underlying UTI induced symptoms of bladder hypersensitivity. Evidence is accumulating that subsets of OAB patients may in fact have an underlying bacterial infection, leading to inflammation and the sensitisation of bladder-innervating sensory nerves. Arrows represent causative links. Red dots represent potential opportunities for treatment of UTI induced OAB symptoms.
|
PMC9289139
|
fphys-13-886782-g003.jpg
|
0.447371 |
5d55b15b8faa4c1eb5e07dce9b20c6e0
|
Park and tract communities in Los Angeles. Group ID indicates the community number of each tract. Tracts are presented in the left, park centroids in the right
|
PMC9289662
|
13688_2022_351_Fig10_HTML.jpg
|
0.423597 |
2928dd3a2afe4894b3341e13c6057826
|
Parks in Los Angeles and Boston. The parks used for the study are presented in dark green, and census tracts are depicted in the back
|
PMC9289662
|
13688_2022_351_Fig1_HTML.jpg
|
0.445442 |
43e8cc64a67e4bf8beaeb0865da542ac
|
Park area proportion at each census tract. (Left) In Los Angeles, the park area is concentrated in the West and the North. Multiple parks have very small sizes and may be difficult to see at first glance. (Right) In Boston, the park area is more evenly distributed
|
PMC9289662
|
13688_2022_351_Fig2_HTML.jpg
|
0.474388 |
48e173fb33b64ef985bf62172b7d06ac
|
Typical travel distance from home to other activities. The color of each tract represents its median travel distance from home to other type activities. (Left) In Los Angeles, the median travel distance average value is \documentclass[12pt]{minimal}
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\begin{document}$13 \pm 7$\end{document}13±7 km
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PMC9289662
|
13688_2022_351_Fig3_HTML.jpg
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0.47309 |
3b618feffb2b42b4bc2c6a11a19dbb08
|
Network construction example. (Left) Trajectories \documentclass[12pt]{minimal}
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\begin{document}$t_{1}$\end{document}t1 as tract node and \documentclass[12pt]{minimal}
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\begin{document}$\{p_{i}\} ^{3}_{i=1}$\end{document}{pi}i=13 as park nodes. The weight of the links represents the number of other type locations exposed to each park
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PMC9289662
|
13688_2022_351_Fig4_HTML.jpg
|
0.427501 |
fb5c549091104c089f06511c13c550e3
|
Park exposure and park demand. (Left) Histogram of park exposure for each city. (Right) Distribution of park demand. Points represent density of cases, on a log-binned histogram. The distributions are reasonably represented by log-normal distribution (dashed lines) with mean μ and standard deviation σ (both in natural scale). In both panels, points represent density of cases, on a log-binned histogram
|
PMC9289662
|
13688_2022_351_Fig5_HTML.jpg
|
0.458655 |
7fc41a98a149449794cfb1afa5125645
|
Mean area of visited parks. Distribution of the average area of the potentially visited parks for each tract. Points represent density of cases, on a log-binned histogram
|
PMC9289662
|
13688_2022_351_Fig6_HTML.jpg
|
0.410589 |
e1fc9faef1ef41109f5700ba77c5b246
|
Park and tract racial/ethnic groups in Boston. Tracts are presented in the left, park centroids in the right
|
PMC9289662
|
13688_2022_351_Fig7_HTML.jpg
|
0.483446 |
8ed3f8dcbc9a42f3bffd3afde439cce1
|
Park and tract ethnic and racial groups in Los Angeles. Tracts are presented in the left, park centroids in the right
|
PMC9289662
|
13688_2022_351_Fig8_HTML.jpg
|
0.479972 |
bfbed58c91fa4279be98aa8b7f06fb2d
|
Park and tract communities in Boston. Group ID indicates the community number of each tract. Tracts are presented in the left, park centroids in the right
|
PMC9289662
|
13688_2022_351_Fig9_HTML.jpg
|
0.404 |
8fdba3f2f1d24308b4e4bbfb410979b6
|
Mnemonic Similarity Task schematic.
|
PMC9289864
|
gr1.jpg
|
0.479983 |
1bd4d4a33d8b4383b338f4eba5f2229d
|
(A) Increased Perceived Stress Scale scores were associated with significantly lower Lure Discrimination Index (LDI) scores on the Mnemonic Similarity Task, controlling for age, gender, and subjective stress reactivity to the Trier Social Stress Test (TSST). (B) Similarly, TSST stress reactivity was associated with significantly lower LDI scores, controlling for age, gender, and Perceived Stress Scale scores. (C) Full results of the linear regression model.
|
PMC9289864
|
gr2.jpg
|
0.496535 |
18097ec6cbee4001a9121d2e581e8994
|
(A) Representative hippocampus segmentation results showing voxels labeled as dentate gyrus (DG)/CA3 (green), CA1 (purple), and subiculum (orange). In regression analyses controlling for age, gender, hemisphere, and estimated intracranial volume, DG/CA3 volume was not associated with Perceived Stress Scale scores (B) or subjective stress reactivity on the Trier Social Stress Test (TSST; C). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
|
PMC9289864
|
gr3.jpg
|
0.424202 |
5abfdfbeaaaa410293b15a293dd8764a
|
(A) Volume of dentate gyrus (DG)/CA3 subfields showed significant left > right asymmetry in the whole sample, with substantial between-participant variability. (B) Greater right > left asymmetry of DG/CA3 volume was associated with a trend-level reduction in Perceived Stress Scale scores, controlling for age and gender.
|
PMC9289864
|
gr4.jpg
|
0.424906 |
b01ad98754a14faf8c51b108ad64152d
|
Trapping cell
and the charging devices. ESP = electrostatic precipitator.
MFC = mass flow controller. [adapted from Figure 1b in ref (17) under Creative Commons
CC-BY licensing agreement]
|
PMC9289876
|
jp2c01370_0001.jpg
|
0.446552 |
be59a8ebff524aacb838bb563d3e1ccf
|
Mobility radius of atomized aerosol droplets which are
“unaltered”
after the atomizing process (black and gray line) and droplets which
are “charged” after the atomizing droplets (red line).
|
PMC9289876
|
jp2c01370_0002.jpg
|
0.469745 |
ce83d05c4d7c4812836f375f4c47b9d8
|
Experimental data and analysis for an example
of an optically trapped
oleic acid droplet trapped from a charged aerosol. Time-dependent
Raman spectrum in the range from (a) 800 to 1500 cm–1, (b) 1600 to 1780 cm–1 of the C=C double
bond, and (c) 2800 to 3000 cm–1. (d) Linear decomposition
of the experimental spectrum (black) into the three components components
oleic acid (OA, blue), intermediate (I, red line) and product (P,
yellow line). The sum of the three components yields the green spectrum.
(e) Temporal evolution of the coefficients of the linear decomposition:
OA (blue), I (red line), and P (yellow line). (f) Temporal evolution
of the droplet radius R retrieved by elastic light
scattering.
|
PMC9289876
|
jp2c01370_0003.jpg
|
0.44264 |
bd070d4d4cf44cb99698ad7037075cb7
|
Inverse of the normalized
reaction time 1/tf* for particles of different
charge state. Neutral droplets
have no charge, unaltered droplets have charges of less than a few
elementary charges, and charged droplets have elementary charges in
the range 3000–13000. Circles indicate measurements on individual
droplets, and red crosses represent the average values with error
bars indicating the standard deviation.
|
PMC9289876
|
jp2c01370_0004.jpg
|
0.428202 |
292300657c18497a8f61e69a37a65717
|
(a) Experimental and simulated temporal evolution
of the linear
decomposition coefficients of OA, I, and P (see also Figures 3, parts d and e). Two different
models, model 1 and model 2 (see Table 1), were employed. (b) Experimental and simulated temporal
evolution of the droplet radius.
|
PMC9289876
|
jp2c01370_0005.jpg
|
0.422301 |
86622172a06c4cd7a95794b00ee3eff5
|
Schematic representation of the simulated single- and
double-stranded
DNA.
|
PMC9289878
|
jp2c02391_0001.jpg
|
0.399979 |
76cead47fb9b4758ae2878be940dd126
|
Analysis of the perturbation
felt by the guanine in ss-HG1 and
ds-HG1.
|
PMC9289878
|
jp2c02391_0002.jpg
|
0.447782 |
cdf468ebd4974b029a0a316dec930215
|
Left: Schematic view of the G-quadruplex
scaffold. Right: Top view
of the G-quadruplex structure (in polygons and CKP representation).
|
PMC9289878
|
jp2c02391_0003.jpg
|
0.427505 |
aea836593dc049e2bfc2b521fd02cab8
|
Schematic representation of the "cloud" computing MoveApps platform (beta version). (1) App developers provide Apps with defined input and output format under an open license. Apps can upload data (red), process data (blue), show results in an interactive user interface (green) and create artefacts for download (yellow). (2) App users can combine those Apps to specific workflows to analyse their movement data. Workflows can consist of several workflow instances that can be (3) run manually or scheduled to analyse (4) tracking data. (5) The calculated results can be explored in a user interface or (6) downloaded as output and artefact files directly or via API. Notification E-mails can be sent of finished scheduled runs. (7) Workflows can be shared in the platform. (8) Citations for Apps are provided and (9) workflows can be published with a digital object identifier (DOI) and archived in the Movebank Data Repository. Registered MoveApps users can be App developers or App users (compiling workflows) or both
|
PMC9290230
|
40462_2022_327_Fig1_HTML.jpg
|
0.413757 |
86fe8ffff9f64aa8a20cfdbf61f28ef2
|
Example workflow "Morning Report". Screenshots of the a) workflow representation (order and names of combined Apps) and b) workflow user interface output for an example dataset of greater white-fronted goose (Anser a. albifrons) tracks. Note that only tracks with data during 2014 were explored with the selected settings
|
PMC9290230
|
40462_2022_327_Fig2_HTML.jpg
|
0.481725 |
73ee8dd2cad0493bb4dfbb364d447642
|
Example workflow "Migration Mapper". Screenshots of the a) representation (order and names of combined Apps) of the workflow instance "Spring migration", b) workflow user interface output for Spring migration and c) Autumn migration of an example dataset of greater white-fronted goose (Anser a. albifrons) tracks. Note that tracks of all years are combined
|
PMC9290230
|
40462_2022_327_Fig3_HTML.jpg
|
0.537426 |
fa16bfefa12c4d089ebb3de49a749c1f
|
Age and sex distribution among case and control groups
|
PMC9290417
|
IJPsy-64-269-g001.jpg
|
0.44351 |
cf045ed3b9ea4b1d83a5396298d5e0c5
|
Restriction digestion pattern of the BDNF and CYP2D6 variants. Lane numbers from left to right: Lane 1: 100 bp DNA ladder, Lane 2: heterozygote (HTZ) genotype of Val66Met SNP of the BDNF gene, Lane 3: homozygous (HZ) genotype of Val66Met SNP of the BDNF gene for A allele, Lane 4: HZ genotype of Val66Met SNP of the BDNF gene for G allele, Lane 5: PCR product of non the non-deletional wild variant of the CYP2D6 gene, Lane 6: Absence absence of any PCR products of the deletional mutant variant of the CYP2D6 gene, Lane 7: negative control using the PCR master mix with any one of the primer but without any sample DNA template, and Lane 8: positive control using beta globin gene with a PCR product of 268 bp
|
PMC9290417
|
IJPsy-64-269-g002.jpg
|
0.436566 |
07c34013c75d4bb49cb860a1e8c22116
|
TRIM44 is overexpressed and correlates with poor prognosis in GC. (A) TRIM3, TRIM14, TRIM29 and TRIM44 were found as common differentially expressed genes through Gene Expression Omnibus (GSE29272, GSE3438, GSE54129) and TCGA datasets in GC and normal tissues; (B) High TRIM44 expression indicated poor OS based on GEPIA database analysis; (C) Kaplan–Meier curves of RFS for the high and low TRIM44 expression groups according IHC staining scores; (D, E) The multivariate analysis suggested TRIM44 upregulation is an independent prognostic factor for the OS (left panel) and RFS (right panel) in GC patients, the hazard ratios are presented as the means (95% confidence interval); (F, G) The mRNA (upper panel) and protein (bottom panel) expression level of TRIM44 in normal gastric cell line (GES1) and GC cell lines (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001).
|
PMC9293703
|
figs1.jpg
|
0.495153 |
2437cbefc8fa4061ada0ce1ebabff847
|
Inhibited TRIM44 impairs the proliferation, migration and invasion abilities of GC cells in vitro. (A) TRIM44 downregulation suppressed the colony formation of MKN45 and AGS cells, the numbers of colonies were measured and are shown in the bar graph (∗∗P < 0.01, ∗∗∗P < 0.001); (B) The cell wound-healing assay showed that cell motility is decreased after TRIM44 inhibition in MKN45 and AGS cells. Microscopic images were acquired at 0 and 72 h (magnification, × 40). The migratory distance of the cells was measured and are shown in the bar graph (∗∗P < 0.01, ∗∗∗P < 0.001); (C) Cell invasion assays of sh-NC, sh1-TRIM44 and sh2-TRIM44 in MKN45 and AGS cell lines, invaded cells were fixed and stained with crystal violet (magnification, × 100). The number of invaded cells was calculated and is shown in the bar graph (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001).
|
PMC9293703
|
figs2.jpg
|
0.426523 |
6bcd3eeabca24d99957cd2e1eeaa5a73
|
TRIM44 contributes to gastric CSCs properties in vitro and in vivo. (A, B) TRIM44 expression levels in spheroid cells and corresponding adherent cells were evaluated by qPCR and Western blotting (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001); (C) The bar graph of the numbers of sphere formation in MKN45 (left panel) and AGS (right panel) cells (∗∗P < 0.01, ∗∗∗P < 0.001); (D, E) Flow cytometry analysis of CD44+ and CD133+ populations in spheres derived from sh-NC, sh1-TRIM44, or sh2-TRIM44 MKN45 or AGS cells (upper panel), the percentage of CD44+ and CD133+ cells was measured and are shown in the bar graph (bottom panel) (∗∗P < 0.01, ∗∗∗P < 0.001); (F) The table of tumor formation frequencies for injecting different numbers of the indicated cells; (G) The positive correlation between TRIM44 and stemness-related factors (Lgr5, c-Myc, SOX2, SOX9) was observed in TCGA database; (H) Representative images showing the protein expression levels of TRIM44 and stemness-related factors after TRIM44 upregulation in MKN45 and AGS cells.
|
PMC9293703
|
figs3.jpg
|
0.491169 |
31d915c68f2a41a78e2b995646c82403
|
TRIM44 binds 14-3-3ζ and induces CSCs properties via stabilizing 14-3-3ζ. (A) Collision-induced dissociation mass spectrum showing the structural diagram of 14-3-3ζ protein; (B) Representative double immunofluorescence staining images showing that co-localization of TRIM44 (red) and 14-3-3ζ (green) proteins; (C) TRIM44 interacts with 14-3-3ζ in AGS cells, the immunoprecipitated materials by the indicated antibodies were analyzed by Western blotting; (D) Representative images showing the expression levels of TRIM44 and 14-3-3ζ after TRIM44 overexpression in MKN45 and AGS cells by Western blotting; (E) The sphere formation assay was performed in indicated AGS cells, and the numbers of sphere formation were measured and are shown in the bar graph; (F, G) Flow cytometry analysis of CD44+ and CD133+ populations in spheres derived from indicated cells, representative results from three independent experiments are shown. All data were mean ± SD and from three independent experiments (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001).
|
PMC9293703
|
figs4.jpg
|
0.419365 |
b9bb0ebefb0747419b6e3cb769b5a788
|
TRIM44 promotes the stability of 14-3-3ζ protein. (A) The bar graph of the expression levels of TRIM44 and 14-3-3ζ after TRIM44 overexpression or knockdown in MKN45 and AGS cells by qPCR; (B) LV-TRIM44 and LV-Control MKN45 cells were treated with cycloheximide (CHX, 50 μg/ml) for the indicated hours, 14-3-3ζ levels were determined by immunoblotting and were normalized by β-Tubulin. (C) Diagram of functional domains contained in truncated TRIM44, containing ZF domain; BB domain, CC domain, dCC mutant, dZF mutant and dBB mutant, respectively.
|
PMC9293703
|
figs5.jpg
|
0.418131 |
ddae65a71ecd4e38bd04cdc757255198
|
TRIM44 regulates gastric properties via β-catenin in GC. (A) Representative images showing the expression of levels of Wnt3α, GSK3β, p-GSK3β, β-catenin after TRIM44 overexpression in MKN45 and AGS cells; (B) The sphere formation assay was performed in indicated AGS cells, and the numbers of sphere formation were measured and are shown in the bar graph; (C, D) The flow cytometry analysis was used to detect the percentage of CD44+ and CD133+ cells in spheres derived from indicated cells. The percentage of CD44+/CD133+ cells was measured and are shown in the bar graph (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001).
|
PMC9293703
|
figs6.jpg
|
0.49569 |
e33314e5017a41fabcb1568c32a5f4ca
|
Interference TRIM44 enhances the chemosensitivity of GC cells. (A, B) CCK8 assay was used to compare cell viability in MKN45 cells with TRIM44 knockdown after treatment with 5-FU (left panel) and cisplatin (right panel), respectively. Data are means ± SD of three independent experiments; (C) The tumor volume for xenograft tumorigenesis with indicated chemotherapy is shown (∗∗∗P < 0.001); (D) Xenografts were fixed and embedded in paraffin and stained with Haematoxylin and eosin for analysis of tumor necrosis induced by TRIM44/chemotherapeutics (Scale bars = 200 μm).
|
PMC9293703
|
figs7.jpg
|
0.421001 |
0154510bcf6c42fa8fb4a4f4f1cc6cfd
|
TRIM44 deubiquitinase activity-mediated 14-3-3ζ upregulation promotes β-catenin-dependent CSCs properties and tumorigenesis in GC. (A) TRIM44 was overexpressed in 75 pairs human GC tissue and correlated with poor OS (∗∗∗P < 0.001); (B) Representative images of sphere in sh-NC cells (left panel), sh1-TRIM44 cells (medium panel), or sh2-TRIM44 cells (right panel); (C) Representative images of tumors for 5 × 106, 5 × 105, 5 × 104, 5 × 103, or 5 × 102 LV-Control-MKN45 and LV-TRIM44-MKN45 cells which were implanted in nude mice; (D) TRIM44 interacts with 14-3-3ζ in MKN45 cells. The immunoprecipitated materials by the indicated antibodies were analyzed by Western blotting; (E) Representative images showing the expression levels of TRIM44 and 14-3-3ζ after TRIM44 knockdown in MKN45 or AGS cells by Western blotting; (F) The sphere formation assay was performed in indicated MKN45 cells, the numbers of sphere formation were measured and are shown in the bar graph (∗∗P < 0.01, ∗∗∗P < 0.001); (G) HEK293T cells which co-transfected with HA-14-3-3ζ, Flag-TRIM44/Control and His-ub were treated with MG132 (5 μM, 6 h), followed by immunoprecipitation (IP) and immunoblotting (IB) analysis as indicated; (H) The K48-linked ubiquitination of 14-3-3ζ was decreased by TRIM44. HEK293T cells were co-transfected with HA-14-3-3ζ, Flag-TRIM44/Control, His-ub-K48/K63 and were treated with MG132 (5 μM) for 6 h, followed by IP and IB analysis as indicated; (I) HEK293T cells were transfected with HA-14-3-3ζ and various Flag-TRIM44 truncations. Cell lysates were immunoprecipitated with anti-Flag. Immunoblotting was performed to determine the interaction between 14-3-3ζ and individual domains of TRIM44; (J) Identification of the TRIM44 functional domain for 14-3-3ζ deubiquitination. HEK293T cells were transfected with HA-14-3-3ζ and indicated Flag-TRIM44 truncations, cells were treated MG132 (5 μm) for 6 h before collection, followed by IP and IB analysis as indicated; (K) LV-Control or LV-14-3-3ζ was transfected into TRIM44 silenced or control MKN45 cells, and IB assay was performed with indicated antibody; (L) Stable sh-NC or sh-TRIM44 MKN45 cells were co-transfected with LV-Control or LV-β-catenin, and Western blotting assay was used to determine the expression stemness-related factors; (M) The sphere formation assay was performed in indicated MKN45 cells. The numbers of sphere formation were measured and are shown in the bar graph (∗∗P < 0.01); (N) Representative image of xenograft tumorigenesis and treatment with sh-NC/TRIM44, 5-Fu and cisplatin in nude mice; (O) Schematic of the underlying mechanism of TRIM44 in GC.
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PMC9293703
|
gr1.jpg
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0.413332 |
87412d51532c4922b56e60fa22f5cbf8
|
Overview of treatments administered to patients. Black arrows indicate an intralesional administration of GEN0101. Twelve injections were administered over two cycles, and the duration of one cycle was four weeks. The tumor size was evaluated pre-administration and at the end of each cycle
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PMC9293878
|
262_2021_3122_Fig1_HTML.jpg
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0.513979 |
b2b32943ce8f4e74ab81c621893c6218
|
Change in tumor size in six patients. Patient 1 a, patient 2 b, patient 3 c, patient 4 d, patient 5 e and patient 6 f. PT: patient
|
PMC9293878
|
262_2021_3122_Fig2_HTML.jpg
|
0.502368 |
c5478316695d4f92bf10d574242e49f0
|
Waterfall plot of the best objective response for target lesions in six patients. Black bars: 30,000 mNAU in the low-dose group. Gray bars: 60,000 mNAU in the high-dose group
|
PMC9293878
|
262_2021_3122_Fig3_HTML.jpg
|
0.43062 |
53bb102f4ed74bbc8608d7badba21d04
|
The decreased size of lung metastasis after the administration of GEN0101. The solid lesion in the right pulmonary S9 segment detected at baseline a had shrunk at week 8 b
|
PMC9293878
|
262_2021_3122_Fig4_HTML.jpg
|
0.42603 |
e1945d76971e4e28aac795173e20d89a
|
The comparison of the NK cell activity and IFN-γ level of peripheral blood in the six patients between baseline and two, six, and eight weeks. The NK cell activity in patients 1, 2, and 3 a; the NK cell activity in patients 4, 5, and 6 b; the IFN-γ levels in patients 1, 2, and 3; c the IFN-γ levels in patients 4, 5, and 6 d
|
PMC9293878
|
262_2021_3122_Fig5_HTML.jpg
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0.427957 |
17c6f7119ebd4e1e8f89148d1db28fd3
|
Schematic overview of UnpairReg model. A Schematic of the linear regression model based on paired chromatin accessibility and gene expression data. Gene expression level and chromatin accessibility are observed in the same cell. TG1 and TG2 are from two different genomic locations. RE1-TG1 regulation, RE5-TG2 regulation, TG1-TG2 correlation, and RE1-RE5 correlation are observed by data. B Schematic of the UnpairReg model based on unpaired data. Gene expression level is observed only for cell 1 to cell 5, while chromatin accessibility is observed for cell 6 to cell 10. TG1-TG2 correlation and RE1-RE5 correlation are observed in this data but no other significant correlation between REs and TGs. So, we infer RE1-TG1 regulation and RE5-TG2 regulation
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PMC9295346
|
13059_2022_2726_Fig1_HTML.jpg
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0.473845 |
e92334bc94df4d88b3548976c415e916
|
Performance of UnpairReg in silico mixture of cells. A PCC of UnpairReg predicted coefficient beta and real beta under different dropout rates. B The mean cell-level PCCs between predicted gene expression level and real gene expression. Cell-level PCC is PCC calculated for each cell across genes. Color in B to E indicates the different types of predicted gene expression data. Orange represents for UnpairReg predicted gene expression; blue represents observed gene expression after drop-out; grey represents random data. C The average of gene-level PCCs between predicted gene expression level and ground truth. Gene level PCC is PCC calculated for each gene across cells. D Cell-level PCC for each cell under a dropout rate of 0.87. The value labeled is the -log10 p-value of the one-sample t-test. E Gene level PCC under a dropout rate of 0.87. The value labeled is the same as D. Dropout rate is defined by the percentage of 0 in the single-cell data
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PMC9295346
|
13059_2022_2726_Fig2_HTML.jpg
|
0.405425 |
38c1e02cfa7347ca9644bb3001418cf2
|
UnpairReg gene expression prediction is consistent with the paired data. A Cell-level PCC between the predicted and multiome gene expression. The x-axis represents the cell-level PCC between UnapirReg predicted gene expression and multiome gene expression, while the y-axis gives the cell-level PCC between GAS and multiome data. Color in A to C indicates the different methods. Orange represents for UnpairReg, and green represents GAS. B Gene-level PCC between predicted and multiome gene expression. The x-axis represents the gene-level PCC between UnapirReg predicted gene expression and multiome gene expression, while the y-axis represents the gene level PCC of GAS and multiome data. C Gene expression of multiome and UnpairReg for one gene. R2 is the r-squared as a goodness-of-fit measure for the linear regression model. p-value is for the F-test of linear regression. The y-axis and x-axis give predicted gene expression and log10 (1 + count) in a cell. D Alignment error of predicted gene expression. For each cell, represented by the predicted gene expression vector, we compute its distance with all cells (observed gene expression). Alignment error for a cell is defined as the number of cells that have a closer distance than the true match (the same cell). E The performance metrics AUPR for UnpairReg cis-regulatory coefficients and other methods. The ground truth is the variant-gene links from eQTLGen. We divide RE-TG pairs into different groups based on the distance of RE and the TSS of TG. There are 8634, 5791, 7431, 21,282, and 33,205 RE-TG pairs in 0–3k, 3–10k, 10–20k, 20–50k, 50–100k, and 100–150k, respectively. PCC denotes the Pearson’s correlation coefficient of RE promoter. Distance denotes the decay function of the distance to the TSS; random denotes the uniform distribution. This figure corresponds to the PMBC data
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PMC9295346
|
13059_2022_2726_Fig3_HTML.jpg
|
0.475049 |
ca2f298a1ee54423adcbc923d6a5b3cc
|
UnpairReg enhances cell type identification. A UMAP of the predicted gene expression from UnpairReg. Color in A to E indicates the ground truth label of PBMC data. The circled cell types from left to right are non-classical monocytes, plasmacytoid DC, memory B cells, and naïve B cells, respectively. B UMAP of the gene expression predicted by GAS. C UMAP of observed gene expression from the multiome data. D Silhouette index (SI) of cells based on predicted gene expression from UnpairReg and GAS. p-value is the significant level of the one-sample t-test. E SI of cells based on UnpairReg-predicted gene expression and the observed multiome gene expression data. p-value is the same as D
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PMC9295346
|
13059_2022_2726_Fig4_HTML.jpg
|
0.375211 |
c9c7d519a5894c35a6159dcebf96a13f
|
UnpairReg improves co-embedding of gene expression and chromatin accessibility. A, B UMAP of CoupledNMF co-embedding. Color in A and C indicates the data type of cells. Color in B and D indicates cell type of ground truth for the BMMC population. C, D UMAP of Seurat co-embedding. E Sankey plot for subpopulations of CoupledNMF, ground truth, and Seurat. Small subpopulations including Mono, HSC, CD8, GMP, and MEP are merged into the “Others” cluster
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PMC9295346
|
13059_2022_2726_Fig5_HTML.jpg
|
0.472355 |
9bdea3ef2abb47548acd2fb9466b059d
|
Consolidated Standards for Reporting Trials (CONSORT) diagram: study design and participant flow
|
PMC9295518
|
12889_2022_13742_Fig1_HTML.jpg
|
0.412526 |
05ee6ac86b0b47fbb2da38d24d3ea5b6
|
Schematic representation of the workflow for direct peptide stimulation of whole peripheral blood by CoVITEST, IFN-γELISpot or antibody quantification by Luminex® (Created withBioRender.com).
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PMC9295597
|
fimmu-13-848586-g001.jpg
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0.413274 |
ac73ede00bfa4b1a929289443c8c5bb1
|
Representative flow cytometry analysis for CoVITEST. The flow cytometry gating strategy was performed sequentially; lymphocyte complexity (SSC vs. FSC), single cell, CD3+ and finally either CD4+ or CD8+ (A). From there, 40,000 CD4+ or CD8+ T cells were further evaluated for CD69 and IFN- γ expression in S and N peptide pool, negative control (vehicle) and positive control (SEB) samples to determine the T cell reactivity for each donor (B).
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PMC9295597
|
fimmu-13-848586-g002.jpg
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