dedup-isc-ft-v107-score
float64
0.3
1
uid
stringlengths
32
32
text
stringlengths
1
17.9k
paper_id
stringlengths
8
11
original_image_filename
stringlengths
7
69
0.427661
7ddff9c732b545aa9ca4e1870a8a83f8
a, b A depiction of virtual environment and foot trackers on walkway at the high (a) and low (b) elevation settings. Walkway dimensions matched a real-world walkway sized 0.4 m wide × 2.2 m long × 0.05 m high. Figure adapted with permission from Raffegeau et al. (2020a)
PMC10197029
221_2023_6638_Fig1_HTML.jpg
0.425401
a7ae7684523a42b5b9a6db6ddfea1508
The median step length for each participant during each trial at low and high VR elevation and at self-selected (SS) and fastest comfortable (Fast) speeds (i.e., participants colored by age, mapping youngest to oldest from blue to yellow; see right bar). Black diamonds indicate condition means, black lines illustrate the slope of the change in step length across conditions. Post-hoc tests of the Age × Speed × Height interaction are indicated by asterisks reflecting significant condition effects (p < 0.001) and colored lines (age mapping split into median younger (blue line) and older (orange line) values) illustrating Age effects are detected in changes to step length from low to high heights at self-selected speeds, but not fast speeds (Table 2)
PMC10197029
221_2023_6638_Fig2_HTML.jpg
0.402338
46dc4329ae2844c59f89904e90006306
Workflow for brain-derived EV (bdEV) enrichment and characterization from different brain regions. bdEVs from 8 brain regions were separated by collagenase digestion, differential centrifugation, and size exclusion chromatography (SEC). After separation, bdEVs were characterized by particle count, imaging, protein phenotyping and small RNA sequencing. Created with BioRender.com.
PMC10197569
nihpp-2023.05.06.539665v2-f0001.jpg
0.407669
0f977b2aa9574c7e8318266621a60725
(a) Particle concentrations of bdEVs from brain regions were measured by NFCM. Particle concentration for each region was normalized by tissue mass (per 100 mg). (b) bdEVs were visualized by negative staining transmission electron microscopy (TEM) (scale bar = 500 nm). TEM is representative of ten images taken of each region. (c) Size (diameter) distributions of bdEVs from brain regions as measured by NFCM and calculated as particles in each 5 nm size bin versus total detected particles in each sample (percentage). (d) Size distributions of bdEVs from brain regions as measured in TEM images and calculated as particles in each 50 nm size bin versus total detected particles in each sample (percentage).
PMC10197569
nihpp-2023.05.06.539665v2-f0002.jpg
0.389482
694dcd88ba484993b61e12328760dafe
EV surface protein phenotyping. CD63, CD81, and CD9 were detected on the intact bdEV surface by single-particle interferometric reflectance imaging sensor (SP-IRIS) (a) and multiplexed ELISA (b) and normalized per 100 mg tissue input. bdEVs were captured by antibodies to EV membrane proteins and detected by signal from a cocktail of anti-tetraspanin antibodies (CD63, CD81, and CD9).
PMC10197569
nihpp-2023.05.06.539665v2-f0003.jpg
0.491803
ef1b15fd846741d1a557bfce8da9bd97
Cell-of-origin marker profile on the bdEV surface. (a) Distribution of markers by cell types: neurons, microglia, and astrocytes. Cell-enriched markers were used as bdEV capture antibodies; EVs were then detected by signal from a cocktail of anti-tetraspanin antibodies (CD63, CD81, and CD9). Levels of neuron (b), microglia (c), astrocyte (d), overlapping (e) and non-CNS cell (f) markers were then normalized to the average of tetraspanin capture spot signals.
PMC10197569
nihpp-2023.05.06.539665v2-f0004.jpg
0.419745
48dad72184324bdebdfc5dcab87ca0b4
bdEV small RNA profiles. (a) Principal component analysis (PCA) based on quantitative small RNA profiles of bdEVs from different regions. (b) Unsupervised hierarchical clustering of 15 of the most abundant bdEV miRNAs across regions.
PMC10197569
nihpp-2023.05.06.539665v2-f0005.jpg
0.437836
6de6f0fd45424d889a23c00ee9b32dc2
Ferroptosis inducer erastin downregulates SNAI3-AS1 expression by increasing DNA methylation level of its promoter. A The expression of eight candidate lncRNAs in U87MG, U251 and A172 cells under erastin (10 μM, 48 h) treatments as measured by RT-qPCR. B Dual-luciferase reporter assays showed the transcription activity of SNAI3-AS1 promoter after erastin (5/10/20 μM, 48 h) treatments. C The correlation between DNA methylation level and gene expression of SNAI3-AS1 according to cBioPortal database. D The expression of SNAI3-AS1 in U87MG, U251 and A172 cells under 5-AZA (1 μM, 24/48 h) treatments as measured by RT-qPCR. E A Prediction analysis of CpG islands in the sequence range of 3100 bp upstream from the transcriptional start site in the SNAI3-AS1 promoter region. F BSP results of SNAI3-AS1 methylation status in U87MG, U251 and A172 cells under erastin (5/10/20 μM, 48 h) treatments. G Heat map of methylation percentage of SNAI3-AS1 in U87MG, U251 and A172 cells under erastin (5/10/20 μM, 48 h) treatments. H The expression of SNAI3-AS1 in U87MG, U251 and A172 cells under erastin (10 μM, 48 h) or erastin (10 μM, 48 h) combined with 5-AZA (1 μM, 48 h) treatments as measured by RT-qPCR and agarose gel image. *P < 0.05, **P < 0.01, ***P < 0.001, and n.s., not significant
PMC10197824
13046_2023_2684_Fig1_HTML.jpg
0.431593
468c5882776544f0adc78b7dec9d0502
SNAI3-AS1 inhibits the proliferation, invasion, and migration of glioma cells in vitro. A RT-qPCR was used to detect the expression of SNAI3-AS1in U87MG and U251 cells transfected with SNAI3-AS1 overexpressed lentiviral vector or control vector. B The growth curves of transfected U87MG and U251 cells were determined by CCK8 assays. C The colony formation assays were performed in transfected U87MG and U251 cells. D The proliferation of transfected U87MG and U251 cells was detected by EdU staining assays. E The transwell assays showed the migration and invasion abilities of transfected U87MG and U251 cells. F Cell cycle distributions of transfected U87MG and U251 cells were measured by flow cytometry. *P < 0.05, **P < 0.01, ***P < 0.001, and n.s., not significant
PMC10197824
13046_2023_2684_Fig2_HTML.jpg
0.440953
0859dea2948c42748986aab0655212ce
SNAI3-AS1 promotes erastin-induced ferroptosis in vitro. A-D U87MG and U251 cells stably overexpressing SNAI3-AS1 were treated with erastin (10 μM) ± ferrostatin-1 (2 μM) for 48 h, cell viabilities were detected via CCK8 assays (A), intracellular MDA was determined by MDA assays (B), intracellular Fe2+ was measured by iron detection assays (C), lipid ROS accumulation was analyzed by flow cytometry with C11-BODIPY staining (D). E–H A172 cells with stable SNAI3-AS1 knockdown were treated with erastin (10 μM) ± ferrostatin-1 (2 μM) for 48 h, cell viabilities were detected via CCK8 assays (E), intracellular MDA was determined by MDA assays (F), intracellular Fe2+ was measured by iron detection assays (G), lipid ROS accumulation was analyzed by flow cytometry with C11-BODIPY staining (H). Transmission electron microscopy was performed to evaluate the ultrastructural changes of mitochondria in U87MG stably overexpressing SNAI3-AS1 (I) and A172 cells with stable SNAI3-AS1 knockdown (J) after treated with Erastin (10 μM) for 48 h. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001, and n.s., not significant
PMC10197824
13046_2023_2684_Fig3_HTML.jpg
0.439199
e17fe4eb51044e718bc9c0d82b26e534
SNAI3-AS1 inhibits mRNA stability of Nrf2. A A Venn Diagram showed the intersection result of correlation analysis between SNAI3-AS1 and ferroptosis-related genes in TCGA and CGGA693 databases. B RT-qPCR was used to detect the mRNA level of Nrf2 after SNAI3-AS1 overexpression or knockdown under DMSO and erastin (10 μM, 48 h) treatments. C The correlation between SNAI3-AS1 and Nrf2 in TCGA and CGGA693 databases. D Western blotting showed the level of Nrf2, GPX4 and 4-HNE after SNAI3-AS1 overexpression or knockdown under DMSO and erastin (10 μM, 48 h) treatments. E U87MG cells with SNAI3-AS1 overexpression and A172 cells with SNAI3-AS1 knockdown were transfected with a dual luciferase reporter plasmid containing Nrf2 promoter. The relative luciferase activity was measured and normalized. F After actinomycin D (5 μg/ml) treatment for 0, 2, 4, 6 h, RT-qPCR was used to analysis the Nrf2 mRNA stability in U87MG cells with SNAI3-AS1 overexpression and A172 cells with SNAI3-AS1 knockdown. G U87MG cells with SNAI3-AS1 overexpression and A172 cells with SNAI3-AS1 knockdown were transfected with a dual luciferase reporter plasmid containing Nrf2 mRNA 3’UTR. The relative luciferase activity was measured and normalized. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001, and n.s., not significant
PMC10197824
13046_2023_2684_Fig4_HTML.jpg
0.459227
2d9b4695a18d4343a9b46a9ec2dbf8ab
SNAI3-AS1 binds to SND1 protein. A RNA FISH analysis of SNAI3-AS1 localization in U87MG and A172 cells. 18S and U6 were used as positive controls. B After nucleocytoplasmic separation assay, the expression level of SNAI3-AS1 was determined via RT-qPCR. GAPDH and U6 were applied as positive controls. C Silver staining was used to identify the SNAI3-AS1-binding proteins pulled down by synthesized biotin-labeled SNAI3-AS1 probe. D Validation of the interaction between SNAI3-AS1 and SND1 protein through western blotting. E RIP assays were performed using anti-SND1 and IgG antibodies. The enrichments of SNAI3-AS1 by SND1 or IgG were detected via RT-qPCR. F The colocalization between SNAI3-AS1 and SND1 was determined by FISH combined with IF staining. G The predicted secondary structure of SNAI3-AS1. H Deletion mapping of the SND1-binding domain in SNAI3-AS1. Top, diagrams of full-length SNAI3-AS1 and the deletion fragments. Middle, the in vitro–transcribed full-length SNAI3-AS1 and deletion fragments with correct sizes were visualized by agarose gel image in U87MG cells. Bottom, immunoblot analysis for SND1 in the protein samples pulled down by different biotinylated SNAI3-AS1 truncations in U87MG cells. I The diagrams of Flag-tagged full-length or truncation plasmids with various assembled domains of SND1 protein. J Full-length or truncations of recombinant SND1 protein with correct sizes were validated by western blotting using anti-Flag in U87MG cells. K RT-qPCR detected the relative enrichment levels of SNAI3-AS1 in full-length or truncation SND1 RIP assays using anti-Flag and anti-IgG in U87MG cells. **P < 0.01, ***P < 0.001, and n.s., not significant
PMC10197824
13046_2023_2684_Fig5_HTML.jpg
0.44443
8f42d029f19e4ddb8380a2b81d732068
SND1 recognizes Nrf2 mRNA and enhances its stability in an m6A-dependent manner. A RIP assays were performed using anti-SND1 and IgG antibodies. The enrichments of Nrf2 mRNA by SND1 or IgG were detected via RT-qPCR. B After actinomycin D (5 μg/ml) treatment for 0, 2, 4, 6 h, RT-qPCR was used to analysis the Nrf2 mRNA stability in U87MG cells with SND1 overexpression and A172 cells with SND1 silence. C RT-qPCR detected the mRNA level of Nrf2 in U87MG cells with SND1 overexpression and A172 cells with SND1 silence. D Western blotting showed the protein levels of Nrf2 after SND1 overexpression or silence under (E) Schematic illustration was used to explain the design of dual luciferase reporter plasmids containing wild-type or mutant m6A sites in Nrf2 3’ UTR sequence. F Wild-type or mutant plasmids of reformed dual luciferase reporters were transfected into U87MG cells with SND1 overexpression and A172 cells with A172 cells with SND1 silence, respectively. The relative luciferase activity was measured and normalized. G m6A levels of U87MG cells with or without three m6A methyltransferases (METTL3, METTL14, and WTAP) silence were detected using the m6A RNA Methylation Quantification Kit and m6A dot blot assays. H U87MG cells with indicated interventions were treated with actinomycin D (5 μg/ml) for 0, 2, 4, 6 h, and Nrf2 mRNA stability was analyzed via RT-qPCR. I In METTL3-silenced or control U87MG cells, MeRIP assays and RT-qPCR were performed to calculate the relative enrichment of m6A modification. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001, and n.s., not significant
PMC10197824
13046_2023_2684_Fig6_HTML.jpg
0.412497
ccc676c1c66e403286eda976999c929c
SNAI3-AS1 perturbed the recognition of Nrf2 3’UTR by SND1 to exert ferroptosis-sensitizing activity. A RIP assays showed the enrichments of Nrf2 mRNA by SND1 in Nrf2 mRNA in U87MG cells with stable SNAI3-AS1 overexpression or A172 cells with stable SNAI3-AS1 knockdown. B After actinomycin D (5 μg/ml) treatment for 0, 2, 4, 6 h, RT-qPCR was used to analysis the Nrf2 mRNA stability in U87MG and A172 cells with indicated interventions. C Dual luciferase reporter plasmids containing Wild-type or mutant Nrf2 mRNA 3’UTR p were transfected into U87MG and A172 cells with indicated interventions, respectively. The relative luciferase activity was measured and normalized. D RT-qPCR detected the mRNA level of Nrf2 in U87MG and A172 cells with indicated interventions. E After DMSO or erastin (10 μM, 48 h) treatments, the protein levels of Nrf2 in U87MG and A172 cells with indicated interventions were determined by western blotting. F-I U87MG and A172 cells with indicated interventions were treated with erastin (10 μM) ± ferrostatin-1 (2 μM) for 48 h, cell viabilities were detected via CCK8 assays (F), intracellular MDA was determined by MDA assays (G), intracellular Fe2+ was measured by iron detection assays (H), lipid ROS accumulation was analyzed by flow cytometry with C11-BODIPY staining (I). *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001, and n.s., not significant
PMC10197824
13046_2023_2684_Fig7_HTML.jpg
0.416632
06646577779a4cb69cc0f075fe1cb025
SNAI3-AS1 overexpression promotes erastin-induced ferroptosis in vivo. A Schematic illustration showing the design of animal experiments. B Body weights of mice in each group were recorded during the experiment. C Kaplan–Meier survival of mice in each group. D Representative bioluminescence images and performed on days 10, 17, and 24 after implantation. Down, statistical analysis of bioluminescent tracking plots. E Representative images of HE staining, IHC assays (SND1, Nrf2, GPX4 and 4-HNE), and TUNEL assays in each group. F Schematic diagram of SNAI3-AS1/SND1/Nrf2 axis regulating ferroptosis in glioma cells. Erastin inhibits SNAI3-AS1 by increasing DNA methylation level of SNAI3-AS1 promoter. Decreased expression of SNI3-AS1 favors SND1 to bind and stabilize Nrf2 mRNA in an m.6A-dependent manner, thereby suppresses ferroptotic cell death. *P < 0.05, and ***P < 0.001
PMC10197824
13046_2023_2684_Fig8_HTML.jpg
0.431733
250d3aad7d754860a6871189ff2c7470
(a) Bipedicle flap raised and sutured to its original position for creation chronic ischemic wound. (b) Full-thickness wounds created on the cephalic, central, and caudal parts of the flap are seen.
PMC10198350
TJTES-29-1-g001.jpg
0.464351
fbb47b12409f448f818017280aae150c
The view of Clemex Vision Lite software image analyzing program.
PMC10198350
TJTES-29-1-g002.jpg
0.409451
f101015b143241dbb857be60465de5f2
Histopathological assessment (the arrows symbolizes; V: Vessel, F: Fibroblast, C: Collagen, and L: Lymphocyte). Vessels are more predominant in Group B2 and B3 when compared to Group A2 and A3 indicating neovascularization. (a) HBO non-received fresh PRP applied group (Group A2), (b) HBO non-received frozen PRP applied group (Group A3). (c) HBO received fresh PRP applied group (Group B2). (d) HBO received frozen PRP applied group (Group B3).
PMC10198350
TJTES-29-1-g003.jpg
0.472908
c53c63dddfba437a9322fed2125cd735
The graphic demonstrates wound surface area measurements on 5-10-15 days in HBO received group.
PMC10198350
TJTES-29-1-g004.jpg
0.534963
3b0e0398148f4827a1a99a669f0beb8f
The graphic demonstrates wound surface area measurements on 5-10-15 days in HBO non-received group.
PMC10198350
TJTES-29-1-g005.jpg
0.453427
eb7b2dddbf0e44758e508241ec76c03c
Photographs of the wound surface areas evaluated by ImageJ digital analyzing program. The picture is showing wound healing of the created defects on the back of the rats according to the days of the experiment in HBO received fresh (a) and frozen PRP (b) applied groups.
PMC10198350
TJTES-29-1-g006.jpg
0.459285
970fd9530a8a4dada8d6df563d348dd2
Aerobic exercise increases endurance but PQQ supplementation does not. We analyzed change in endurance but show final, post-training endurance for illustrative purposes. Different letters over different groups of bars represent a significant effect of training.
PMC10198381
fphys-14-1165313-g001.jpg
0.442911
85fa9ef9c9654409a16d0eb4e7ee1e13
Standard metabolic rates increased with PQQ supplement. There was no significant effect of training on SMR, but we note that trained-only lizards had the lowest SMRs. Different letters over different groups connected by brackets represent a significant effect of PQQ supplementation.
PMC10198381
fphys-14-1165313-g002.jpg
0.417485
ab2326f322f74f3097898fa5941ef59a
Mitochondrial DNA copy number in gastrocnemius muscle increased with aerobic exercise training (shown with solid lines) but decreased with PQQ supplements (shown with dashed lines). Different letters over different groups of bars or groups connected with brackets indicate a significant difference.
PMC10198381
fphys-14-1165313-g003.jpg
0.426573
9e7eaca827654117b5d18d1b58fb68b8
Whole-organism resting metabolic rate (RMR) decreased with aerobic exercise training. Absolute metabolic rates are shown, but when corrected for body size females had significantly higher RMRs than males. Different letters over different groups of bars represent a significant effect of training.
PMC10198381
fphys-14-1165313-g004.jpg
0.499888
e82ad9459bea4d10b73742c30659e5e2
Aerobic exercise alters mitochondrial function but not baseline oxygen consumption of muscle fibers. This figure demonstrates the effect of endurance training on oxygen consumption rates (OCR) of gastrocnemius muscle fibers over 140 min. The addition of reagents allows changes to be seen in mitochondrial basal respiration, ATP linked respiration, and maximal respiratory capacity. Trained lizards did not experience as much of an increase in OCR as control lizards after the addition of FCCP and pyruvate, indicating lower maximal respiratory capacity. There was no difference between trained and control lizards OCR at baseline. Oligo = oligomycin, FCCP = carbonyl cyanide-p-trifluoromethoxyphenylhydrazone, Rot/Ant = rotenone and antimycin. *p < 0.05, **p < 0.01.
PMC10198381
fphys-14-1165313-g005.jpg
0.45882
9afed25c5f814b7395710a53efe6855a
Fourier transform infrared spectroscopy (FTIR) spectra of Chitosan, PNIPAM, Hyaluronic acid and CNH co-polymer, yielded by thermal precipitation followed by EDC/NHS crosslinking with their respective absorption peaks (a). Concentration dependent gelation time of CNH hydrogels (b), Visual observation of thermosensitive behavior of 5% CNH hydrogel at 25 °C (sol-state) and 37 °C (gel-state) with their respective viscosity (c, d)
PMC10199301
10856_2023_6732_Fig1_HTML.jpg
0.499961
e6b9f444020f493d84df8a8595f70f35
Representative histogram of water content (a) and volume shrinkage (b) of 5% (w/v) PNIPAM and 5% CNH hydrogels at 37 °C temperature. Absorbance at 470 nm (c) and corresponding relative absorbance (d) of both PNIPAM and CNH thermo-responsive hydrogels at increasing temperature
PMC10199301
10856_2023_6732_Fig2_HTML.jpg
0.445767
37df9589d6334d648fced9009ce87848
Cytotoxicity evaluation by MTT assay after 1, 3, 7 days incubation of L929 fibroblast cells with hydrogel extracted media (a). The cell attachment and proliferation with hydrogel extracted media after 1, 3, 7 days of incubation (b). F-actin and nuclei visualized by FITC and HOECHEST respectively. Scale bar 250 µm
PMC10199301
10856_2023_6732_Fig3_HTML.jpg
0.451135
abd2b4ce00f14df8a785562385cd974a
McFarlane skin flap model at rat dorsum (a). Complete flap elevation and immediate closure after hydrogel application on the fascia. Three equal zones were divided for post-surgical evaluation. In-vitro papaverine release profile from papaverine loaded CNHP0.4 hydrogel (b)
PMC10199301
10856_2023_6732_Fig4_HTML.jpg
0.392855
869746f3e92d4676abe5c7b3a426c375
Digital photographs of skin flap survival on post operative 3 and 7 days with CNHP0.0 and CNHP0.4 hydrogel groups (a), Digital photographs of the inner side of skin flaps in each group on post operative day 7 showing tissue edema (b), Histograms showing percentage of flap survival, viable/ necrotic surface area (cm2) and percentage of tissue water content on post operative day 7 (c), Mean SOD and MDA levels in both hydrogel groups (d). All the values are expressed as means ± SDs (n = 6 per group). **p < 0.01, ***p < 0.001 and ****p < 0.0001
PMC10199301
10856_2023_6732_Fig5_HTML.jpg
0.452646
92f90d99fe094155a8480799786e5895
Hematoxylin and eosin (H&E) staining and immunohistochemical (IHC) staining with CD34 and VEGF of CNHP0.0 and CNHP0.4 hydrogel groups showing comparative neovascularization, CD34 positive vessels/mm and % IOD of VEGF in skin flaps along with their co-relative histogram). All the values are expressed as means ± SDs (n = 3 per group). ***p < 0.001
PMC10199301
10856_2023_6732_Fig6_HTML.jpg
0.422212
05f86ac0409e430eae494a66f5151a81
Immunohistochemical (IHC) staining of CNHP0.0 and CNHP0.4 hydrogel treated skin flaps with CD68 and CCR7 antibody showing reduced macrophage infiltration resulting suppressive inflammatory response in CNHP0.4 hydrogel treated skin flaps along with their co-relative histograms. All the values are expressed as means ± SDs (n = 3 per group). ***p < 0.001
PMC10199301
10856_2023_6732_Fig7_HTML.jpg
0.430494
1e024d4e0edd4916a3d3be5082a86686
Patients’ enrollment algorithm.
PMC10199368
JRMS-28-29-g001.jpg
0.418926
97a5207e75774f8582e60d90928a8347
Postoperative hemoglobin lost in bladder lavage fluid
PMC10199368
JRMS-28-29-g002.jpg
0.43314
78d49d41a6fa4f5284586952a6922a16
Simultaneous measurement of the WitMotion sensors and the laser pointer device. A Proprioceptive tests; B The upper computer software
PMC10199988
40122_2023_487_Fig1_HTML.jpg
0.421263
0b531f8f8e9d4cf5b5dee04e634ce116
Bland–Altman plot detailing the comparison between the LPD and WS when rater A was assessing cervical flexion (A) and cervical extension (B). The red line (middle one) indicates the mean difference. Black lines (extremities) indicate upper and lower agreements. LPD universal instrument; WS WitMotion sensor
PMC10199988
40122_2023_487_Fig2_HTML.jpg
0.438935
5a4f567d098944e1870daafa3c31fed4
Bland–Altman plot detailing the comparison between the LPD and WS when rater A was assessing cervical left lateral flexion (A) and cervical right lateral flexion (B). The red line (middle one) indicates the mean difference. Black lines (extremities) indicate upper and lower agreements. LPD universal instrument, WS WitMotion sensor
PMC10199988
40122_2023_487_Fig3_HTML.jpg
0.442883
bb3b1063f675480ca3910a9b8bd9a189
Bland–Altman plot detailing the comparison between the LPD and WS when rater A was assessing cervical left rotation (A) and cervical right rotation (B). The red line (middle one) indicates the mean difference. Black lines (extremities) indicate upper and lower agreements. LPD universal instrument, WS WitMotion sensor
PMC10199988
40122_2023_487_Fig4_HTML.jpg
0.425221
2e3ad5447e794a13be5b6640f8557342
Germination of rice seeds treated with different levels of UA. (A) Photograph of germinated seeds; (B) Germination ratios and (C) Lengths of germ and radicle, respectively. * and ** indicate significant levels at p < 0.05 and 0.01, respectively. The unit of 10, 50 and 200 is μg/mL. CK, control check; UA, ustiloxin A.
PMC10200953
fpls-14-1168985-g001.jpg
0.412562
cc0bf69cbe534dc1ae02bd4468c2ece1
Levels of starch, sucrose, fructose and glucose in embryo (Em) and endosperm (En) under different concentrations of UA treatments. Different letters indicate significant levels at p < 0.05.
PMC10200953
fpls-14-1168985-g002.jpg
0.409386
f2b1c6ccafe64a78ae708b2869290aad
Expression and classification of DEGs. (A) Phenotypic contrast between UA200 and CK; (B) Volcano plot for the up- and down-regulated DEGs; (C) Cluster analysis of all DEGs; (D) The top 5 enriched COG function classification of DEGs based on consensus sequence; and (E) The top 20 enriched KEGG pathways of DEGs. CK, control check; COG, Clusters of Orthologous Groups; DEGs, differentially expressed genes; KEGG, Kyoto Encyclopedia of Genes and Genomes; UA, ustiloxin A.
PMC10200953
fpls-14-1168985-g003.jpg
0.409836
439243c4a9f4438791a4c916c45a43b9
Analyses of principal component (A) and cluster heatmap (B) for metabolisms of both endosperm (En) and embryo (Em) detected in positive (POS) and negative (NEG) modes, respectively.
PMC10200953
fpls-14-1168985-g004.jpg
0.42761
0e53f99d24cb425eb6ee016d80225832
Identification of DEMs in CK_Em vs UA_Em and CK_En vs UA_En. (A) Venn analysis of DEMs that up- and/or down-regulated in Em, En and both. (B) KEGG annotation of DEMs in Em and En. Abbreviation: DEMs, differential expressed metabolites; Em, embryo; En, endosperm; KEGG, Kyoto Encyclopedia of Genes and Genomes.
PMC10200953
fpls-14-1168985-g005.jpg
0.444105
0b8970563ff940509fcae5e7f85e2729
Changes of genes expression related to sugar and amino acid transport between control and UA200. The red and blue represent induced or suppressed, respectively. The *, ** and *** indicate for significant levels at p < 0.05, 0.01 and 0.001, respectively. SWEET, sugars will be eventually exported transporter; MST, monosaccharide transporter; INV, invertase; CIN, cell-wall invertase; VIN, vacuolar acid invertase; SUT, sucrose transporter; CAT, cationic amino acid transporter; ATL, amino acid transporter-like; BAT, bi-directional amino acid transporter; ANT, aromatic and neutral amino acid transporter; LHT, lysine and histidine transporter.
PMC10200953
fpls-14-1168985-g006.jpg
0.411641
26325c72f5064e2f8636b9fb7ddcc6b8
Expression patterns of differentially regulated genes of enzymes involved in glycolysis and pentose phosphate pathways under normal and UA treated conditions. The blue means down-regulated, red means up-regulated, and yellow means up- & down- regulated in (A) the pathway; and (B) the details of expression for the up- and/or down-regulated genes were shown. HXK, hexokinase; G6P(1)-E, glucose-6-phosphate 1-epimerase; PGI, phosphoglucose isomerase; FBP, fructose-1,6-bisphosphatase I; PFK, 6-phosphofructokinase 1; PFP, diphosphate-dependent phosphofructokinase; ALD0, fructose-bisphosphate aldolase, class I; GAPDH, glyceraldehyde 3-phosphate dehydrogenase; PGK, phosphoglycerate kinase; gpmB, 2,3-bisphosphoglycerate-dependent phosphoglycerate mutase; ENO, enolase; PYK, pyruvate kinase; G6PD, glucose-6-phosphate 1-dehydrogenase; PGLS, 6-phosphogluconolactonase; PGD, 6-phosphogluconate dehydrogenase; TKT, transketolase; rpiA, ribose 5-phosphate isomerase A; TAL, transaldolase; SeBP, sedoheptulose-bisphosphatase; RPE, ribulose-phosphate 3-epimerase; FPKM, fragments per kilobase of transcript per million reads; FC, fold change.
PMC10200953
fpls-14-1168985-g007.jpg
0.443609
1a76e70547044dcd90164808d95bd566
Changes of metabolites and related genes expression of galactose and trehalose pathway. (A) Normalized expression abundance of detected metabolites related to galactose metabolism in En and Em. (B) The pathway of raffinose metabolism; (C) The pathway of trehalose metabolism; (D) Changes in gene expression of enzymes related to raffinose and trehalose metabolic pathways after UA treatment compared with the control. The *, ** and *** indicate for significant levels at p < 0.05, 0.01 and 0.001, respectively. Abbreviation: galE, UDP-glucose 4-epimerase; ino(1)-mP, myo-inositol-1-monophosphatase; ino(1)-PS, myo-inositol-1-phosphate synthase; PGM, phosphoglucomutase; galU, UTP–glucose-1-phosphate uridylyltransferase; GOLS, inositol 3-alpha-galactosyltransferase; RFS, raffinose synthase; sacA, β-fructofuranosidase; galA, α-galactosidase; TPS, trehalose-6-phosphate synthase; TPP, trehalose-6-phosphate phosphatase.
PMC10200953
fpls-14-1168985-g008.jpg
0.382318
35ffde8735be4e7da419e950af940789
Response of amino acid metabolism to UA treatment. (A) simplified representation of metabolism pathways of amino acid and correlated up-and down-stream changes. Genes in red, blue and yellow represent upregulated, downregulated, and both. Rectangle boxes filled with red, blue and white represent upregulated, downregulated and unchanged metabolites, respectively. (B) Normalized expression abundance of metabolites related to amino acid metabolism. *, ** and *** indicate for significant levels at p < 0.05, 0.01 and 0.001, respectively. amiE, amidase; Arg, arginine; Asn, asparagine; Asp, asparate; CA, citrate; CA4H, cinnamic acid 4-hydroxylase; CHI, chalcone isomerase; CHS, chalcone synthase; Cit, citrulline; Cys, cysteine; G6PD, glucose-6-phosphate 1-dehydrogenase; gld, β-glucosidase; Gln, glutamine; glnA, glutamine synthetase; Glu, glutamate; Gly, glycine; GOT2, aspartate aminotransferase; GSH, glutathione; GSSG, glutathione disulfide; Ile, isoleucine; Leu, leucine; MA, malate; MDH2, malate dehydrogenase; P4HA, prolyl 4-hydroxylase; PAL, phenylalanine ammonia-lyase; Pro, proline; SGXT, L-serine: glyoxylate aminotransferase; Thr, tryptophan; Tyr, tyrosine; YUCCA, indole-3-pyruvate monooxygenase.
PMC10200953
fpls-14-1168985-g009.jpg
0.416344
ee97970ca71241af89afa681382b2faf
Gene expression and metabolic abundance of GA and ABA synthesis pathways. (A) DEGs in the pathway of GAs conversion. (B) Normalized metabolic abundances of GAs and ABA in endosperm and embryo. (C) DEGs in the ABA synthesis pathway. *, ** and *** indicate for significant levels at p < 0.05, 0.01 and 0.001, respectively. GA, gibberellic acid; GA20ox, gibberellin-44 dioxygenase; GA2ox, gibberellin 2beta-dioxygenase; ABA, abscisic acid; CrtZ, β-carotene 3-hydroxylase; VDE, violaxanthin de-epoxidase; AAO3, abscisic-aldehyde oxidase.
PMC10200953
fpls-14-1168985-g010.jpg
0.421218
2c4c89fdb86f4f73a53e22118f0d4d2a
KEGG enrichment of DEGs on ribosome protein synthesis related RNAs.
PMC10200953
fpls-14-1168985-g011.jpg
0.415821
0d9bb67237a14ac7affa990c5c102353
Schematic representation of carbohydrate metabolism during (A) seed germination under ustiloxin A treatment and (B) grain filling hijacked by U. virens. The red and blue indicate for up- or down-regulated genes or metabolites. GA, gibberellic acid; ABA, abscisic acid; SWEET, sugars will be eventually exported transporter; SUT, sucrose transporter; SuSy, sucrose synthase; PGM, phosphoglucomutase; CIN, cell-wall invertase; ADPG, adenosine diphosphate glucose; AGPase, ADPG pyrophosphorylase; GBSS, granule bound starch synthase; SSS, soluble starch synthase.
PMC10200953
fpls-14-1168985-g012.jpg
0.410753
d70fbffb3dc949a5b9bdd70a869ac623
Data selection process.
PMC10201830
gr1.jpg
0.439251
de80de005fc34997b90bfea4e30a89e0
(A) Number of majorly cultivated food plants (species, subspecies, varieties, and races); (B) Νumber of native food plants (species, subspecies, varieties, and races) in the selected countries.
PMC10201830
gr2.jpg
0.444121
509d6b608fae4509a48a50dc07cc52fe
Flow diagram
PMC10202062
12903_2023_2908_Fig1_HTML.jpg
0.469161
2ee5c8fd2e784694a75b09c5cb244741
Study flow chart.
PMC10202921
41598_2023_35243_Fig1_HTML.jpg
0.41655
61035177ba0245ff95f7079aa0992708
Receiver-operating characteristic curve for the relationship between the serum high temperature requirement factor A4 (Htr A4) levels and the diagnosis of preeclampsia [area under curve (AUC) 0.886, p < 0.001, 95% confidence interval 0.830–0.942].
PMC10202921
41598_2023_35243_Fig2_HTML.jpg
0.430652
21b4631d1e004fc298572bd8fe88af52
Integration of patient-specific organoids, such as intestinal organoids, into microphysiological systems (MPS) provides a powerful platform for early testing of new therapeutic compounds. Also, these in vitro platforms allow identification of pharmacokinetics parameters for the development of highly predictive pharmacokinetic models that improve the clinical translational of new drugs. The image depicts an example of iPSC derived intestinal organoids generated in Cristoforetti’s lab at University of Florida. Crypt-like domains (red arrow), lumen (blue star), and villus domain (green arrow).
PMC10203872
fphar-14-1198598-g001.jpg
0.434566
4a6c54d7d29844799dbec2e33045a5dd
A schematic of what a “registered multi-lab replication with adversaries” would involve
PMC10204291
12915_2023_1567_Fig1_HTML.jpg
0.428943
041732f0e2f9451c900940c0db8b3d41
The process of LC ink design and printing. (a) Synthesis of the photopolymerizable LCEs. (b) The schematic illustration of temperature-controlled DIW of the LC ink and UV curing of printed samples.
PMC10204425
biomimetics-08-00196-g001.jpg
0.389293
56e523928e4b43c2b7c83c101caee13d
(a) DSC thermograms of the prepared LC ink. (b) Logarithmic curve of LC ink viscosity versus shear rate. (c) Storage modulus G′ and loss modulus G″ as a function of shear stress. (d) POM images of the printed sample when the printing direction is 0° and 45° to the polarizer.
PMC10204425
biomimetics-08-00196-g002.jpg
0.46422
c8d13e55e5e947fc906bdfce4d07286e
Deformation of LCE at different printing temperatures. (a) Optical images of samples printed under different temperatures (70, 80 and 90 °C) at room temperature and heated to 80 °C. P-70 °C, P-80 °C and P-90 °C represent the printing temperatures selected for the samples, respectively. (b) The relationship between shrinkage strain and printing temperature under different printing speeds. (c) The relationship between the length of axial shrinkage and the number of cycles under different printing temperatures.
PMC10204425
biomimetics-08-00196-g003.jpg
0.457819
fe778432965e415f84216aa1083e9563
Deformation of LCE at different printing speeds. (a) Optical images of reversible shape change of samples printed at 90 °C with different speeds, under room temperature and 80 °C. (b) The relationship between shrinkage strain and printing speed under different temperatures. (c) The relationship between the length of axial shrinkage and the number of cycles under different printing speeds.
PMC10204425
biomimetics-08-00196-g004.jpg
0.430561
031ae05ee5fa400b8a7f58cb1f81d678
Example of 3D printing double-layer LCE film with a printing angle of 0° for one layer and 90° for the other. (a) Schematic of the printing path of two-layer and the printed film at room temperature. (b,c) Optical images of the printed sample after shape changing when the printing angle of the contact layer with the heating platform is 90° and 0°, respectively, and schematic diagrams of their morphology after changing shape.
PMC10204425
biomimetics-08-00196-g005.jpg
0.471386
0786b63c4f3040b1995710b4c23843d7
(a,b) Printing path (a), printed structure and the morphed shape after heating (b) of a double-layer rectangular LCE film with the upper and lower layers of ±45° relative to the long axis. (c,d) Schematic with ring filling for printing path (c). Printed three-layer disc structure and the deformed morphology after heating (d).
PMC10204425
biomimetics-08-00196-g006.jpg
0.421361
e182fa1b92704d58be3604e491fd19b5
The effect of actuation temperature on the strain in length and width direction.
PMC10204425
biomimetics-08-00196-g007.jpg
0.479821
c3cb9251d49941a78c9a2ea50f39b787
Shape-changing patterns of different LCE double-layer cross structures. (a,b) Two deformation modes for the same structure by replacing the printing sequence of the two layers. (c,d) The deformation mode of cross structure with upper and lower layer printing angles of 0° and 90°, respectively. (e,f) The deformation mode of cross structure with upper and lower layer printing angles of ±45°, respectively.
PMC10204425
biomimetics-08-00196-g008.jpg
0.444953
69735a94302e4c889a868da29ef0b461
Application demonstrations of the printed LCE structures. (a,b) Three-dimensional printing of LCE planar porous mesh structure (a) Printing path. (b) Shape transition between printed structure at room temperature and at 80 °C. (c,d) Actuated lifting test of multi-layer LCE strip film. (c) Lifting an object weighing 2.5 g. (d) Lifting an object weighing 9.2 g.
PMC10204425
biomimetics-08-00196-g009.jpg
0.375181
d4b3fe6db47e4be1a0e33bbe35d84ed1
Kaplan-Meier survival estimates of patients discharged after hospitalization for COVID-19. High-sensitivity troponin I elevation on admission was associated with decreased long-term survival. hs-TnI: high-sensitivity troponin I.
PMC10204838
1806-9282-ramb-69-05-e20230116-gf01.jpg
0.436284
398dbd06694c467d90b9c9c7d6602ec5
(A) Synthesis of GO; (B) synthesis of (2 and 4 wt%) GO/PVP-doped MoO3 NSs.
PMC10205020
fchem-11-1191849-g001.jpg
0.477636
e1acab1581aa4d699a799e9b2aed7cf8
(A) XRD patterns; (B,C) SAED pattern of (2 and 4 wt%) GO/PVP-doped MoO3.
PMC10205020
fchem-11-1191849-g002.jpg
0.407571
c590ca6a2c5743bf8b8f3f2b16f8af17
(A) UV–Vis spectra, (B) PL-spectra, and (C) FTIR spectra of (2 and 4%) GO/PVP-doped MoO3.
PMC10205020
fchem-11-1191849-g003.jpg
0.444277
443f60f5f2c048dfafe7c3a84075c223
(A–E) TEM images of (A) MoO3, (B) PVP–MoO3, (C) GO, (D) 2% GO/PVP–MoO3, and (E) 4% GO/PVP–MoO3.
PMC10205020
fchem-11-1191849-g004.jpg
0.461898
865a67a5935140979324cb29c81ff910
Catalytic activity of (2 and 4 wt%) of GO- and PVP-doped MoO3 in (A) acidic, (B) basic, and (C) neutral media.
PMC10205020
fchem-11-1191849-g005.jpg
0.440988
73fc999a01314838809ffb6b41f9d84b
Stability of (2 and 4 wt%) GO/PVP-doped MoO3 in an acidic medium.
PMC10205020
fchem-11-1191849-g006.jpg
0.491528
55b2829a696d4730a4c2ade47688fb4a
3D view of a binding pocket (A) and the binding interaction pattern of PVP/MoO3 (B) and GO/PVP/MoO3 (C) inside the binding site of FabI.
PMC10205020
fchem-11-1191849-g007.jpg
0.437479
2f8073f2df194bb8b2c4fd56037670f8
3D view of a binding pocket (A) and the binding interaction pattern of PVP/MoO3 (B) and GO/PVP/MoO3 (C) inside the binding site of FabI.
PMC10205020
fchem-11-1191849-g008.jpg
0.484021
6ec955e2813745588a31cdc0af4a8ba1
Platelet activation and disturbances due to ESKD and dialysis. ADP, adenosine diphosphate; ATP, adenosine triphosphate; ESKD, end-stage kidney disease; NO, nitric oxide; PAR, protease-activated receptor; TXA2, thromboxane 2; VWF, von Willebrand factor.
PMC10205120
tpa-107-1248-g001.jpg
0.457338
518e9076705941f0bdd8781194c74b1d
The process of clot formation and the coagulation cascade with sites of inhibition of antiplatelet and anticoagulant drugs. LMWH, low-molecular weight heparin; NO, nitric oxide; PL, phospholipids; TF, tissue factor; tPA, tissue plasminogen activator; VWF, von Willebrand factor.
PMC10205120
tpa-107-1248-g002.jpg
0.403199
cb527110c76449649e827d90ce2cdd64
Flow diagram showing cohort creation and exclusions.
PMC10205905
195e699f1.jpg
0.506873
580e7d0ec34045f4b68b9a35f1ef2e87
Quarterly time series showing observed and predicted rates of acute care for cannabis use during pregnancy per (A) 100 000 overall pregnancies, (B) per 100 pregnancies with acute care for a mental health disorder and (C) per 100 pregnancies with acute care for substance use. The dashed line divides the before and after legalization periods. Note: CI = confidence interval.
PMC10205905
195e699f2.jpg
0.472475
7900f3e6e0d949699bbd8bcae9975426
Workflow for the PFFP methodology.
PMC10206034
fnana-17-1154568-g001.jpg
0.429041
9eda623f848545db8088fdc0e0f41fdf
Set up for deparaffinization and hydration of brain paraffin embedded brain tissues for the PFFP protocol. (A) Tissue sections are placed in vials or in the metal pan and are incubated for a minimum of 10 min in CitriSolv, graded alcohols (100, 95, and 70%) and PBS to achieve hydration. Sections can be transferred to cell culture plates, or a perforated tube [(B), see below], for further processing for histology or immunohistochemistry. (B) Illustrates a streamlined protocol for processing tissues in xylene/CitriSolv–resistant Falcon tubes. The inset shows perforation of a Falcon tube that can be sequentially processed through graded ethanols, PBS hydration. The perforated tubes can also be used for minimal amounts of antibody incubation for immunohistochemistry. (C) Left to right: stereo-microscope images of a coronal section of cerebellum (floating in CitriSolv solution) and striatum (fully hydrated in PBS solution, multi-well plate) of the mouse brain, which demonstrates great morphological preservation using the PFFP method. Morphological integrity of cerebellar tissue is exemplified with the PFFP method through Cresyl violet (Nissl) staining. Bar 100, 200, 100 μm.
PMC10206034
fnana-17-1154568-g002.jpg
0.417163
2d33e40386eb4e859e5ee8fa7b291cd7
Immunofluorescence detection of olfactory bulb antigens with the PFFP method (processed in glass vials, see Figures 1, 2A). Deparaffinized coronal sections were processed with overnight incubation with polyclonal antibodies followed by species-specific fluorescent-labeled secondary antibodies. [(A), left to right], coronal section of mouse olfactory bulb (5 micron thickness) localized olfactory marker protein (OMP) in axons of the olfactory nerve layer (ONL) that extend to glomerular layers (GLM) of the main olfactory bulb. Staining of glial fibrillary acidic protein (GFAP) identified characteristic astrocytes interspersed at glomeruli and the mitral cell layer (MCL) of the bulb (8 micron thickness). Similarly, tyrosine hydroxylase expression was identified in juxtaglomerular interneurons of the GLM (8 micron thickness). [(B), left to right], cell type-specific expression of OMP was localized to primary olfactory neurons (ORN) in the olfactory nasal cavity (8 micron thickness), where nerve bundles (NB) coalesced in subepithelial regions. GFAP expression revealed stellate radial astrocytes with long projections throughout the inner, granule cell layer (GCL) of the bulb (8 micron thickness). Robust TH expression localized to neurons of the arcuate nucleus near the hypothalamus (10 micron thickness). Scale bars (left to right): (A) = 100 μm, (B) = 40, 100, 100 μm.
PMC10206034
fnana-17-1154568-g003.jpg
0.392102
10668e7d1b4243469bec943370de7365
Dual immunohistochemical labeling for antigens in mouse olfactory bulb tissue using the PFFP method with perforated tubes (see Figure 2B). Deparaffinized coronal sections (5 micron thickness) with a 24 h incubation period with polyclonal antibodies followed by species-specific fluorescent-labeled secondary antibodies, demonstrating single, and or dual labeling of glial fibrillary acidic protein (GFAP) and olfactory marker protein (OMP) expression in astrocytes and neurons of the olfactory nerve layer (ONL) and glomerulus layer (GLM), respectively, and GFAP specificity to deeper layers of the olfactory bulb. The third panel illustrates a merge of the dual labeling for GFAP and OMP. Bar = 100 μm.
PMC10206034
fnana-17-1154568-g004.jpg
0.436483
35914ea6be50423db06d9d1e251ac1b1
Deparaffinized coronal sections (8 μm thickness) of midbrain tissues show compatibility for immunofluorescent and chromogenic detection of antigens using the PFFP method. [(A), left to right], coronal sections identified nestin-expressing cells within the subgranular zone (SGZ) of the hippocampus. PFFP method afforded staining with DAPI and TH localization in the striatum (STR). Section thickness in (A) 10 microns. [(B), left to right], tyrosine hydroxylase (TH) and GFAP localization using peroxidase-labeled secondary antibodies and chromogenic (3, 3′-diaminobenzidine) development. Robust TH expression in the striatum correlated with similar pattern of localized expression using fluorescent detection in (A). Arrows identify GFAP labeling of radial astrocytes bordering the lateral ventricle (LV) and tanycytes lining the third ventricle (3V). Section thickness in (B) 10 microns. Scale bars (left to right): (A) = 100 μm, 1, 1, 1 mm; (B) = 1 mm, 300, 300 μm. Coronal sections of tissues processed using multiwell plates (see Figures 1, 2A).
PMC10206034
fnana-17-1154568-g005.jpg
0.486597
21b95cf80ac4481da0bfba8a4041ce25
Flowchart showing selection of studies.
PMC10206123
fcvm-10-1173945-g001.jpg
0.457817
0176cb4e6c7a4910b1edf58eb2f12d4e
An Egger’s funnel plot indicated low level of heterogeneity for evaluating four outcomes: false lumen patency (A), aortic-related death (B), perioperative stroke (C) and reintervention (D)
PMC10206123
fcvm-10-1173945-g002.jpg
0.44444
7a3ebb0eb3a5444bbce343b0e6cb9967
Forest plot showing the HR and 95% CI of false lumen patency for studies comparing the anticoagulation and non- anticoagulation after surgery. HR, hazard ratio; CI, confidence interval.
PMC10206123
fcvm-10-1173945-g003.jpg
0.461245
5b05a4f6271f4349b241d47c219d761c
Forest plot showing the HR and 95% CI of aortic-related death (A), perioperative stroke (B) and reintervention (C) for studies comparing the oral anticoagulation and non-oral anticoagulation after surgery. HR, hazard ratio; CI, confidence interval.
PMC10206123
fcvm-10-1173945-g004.jpg
0.444376
4f447cee71fa4ff8b7342b027a17dc7e
RIPostC significantly reduced cardiac injury in rat myocardial IR model. (A) The protocol of experimental design. (B,C) Evans blue and TTC staining. Representative five heart slices stained by Evans blue and TTC in two groups. IS, infarct size; AAR, the ischemic area at risk; LV, left ventricle. (D) The level of plasma TnI. *Represents P < 0.05, n = 6 for each group.
PMC10206167
fcvm-10-1089151-g001.jpg
0.423376
10b5d7366dc6429ba1d8eb8c319064ae
RIPostC significantly reduced the apoptosis of heart. (A) Representative myocardial apoptosis detected by TUNEL assay. (B) The percentage of TUNEL-positive cells in the total cells. Scale bar: 100 µm. *Represents P < 0.05, n = 6 for each group. (C) Detection of caspase-3 levels in heart after RIPostC using western blotting.
PMC10206167
fcvm-10-1089151-g002.jpg
0.703503
8cebe3dc04784ae5a37f1d7fa62f8693
The comparison of the levels of cardiac inflammatory factors between the Con and the RIPostC group. (A–D) The comparison of cardiac IL-1β, IL-6, IL-10 and TNFα levels respectively in the RIPostC and the Con group. *Represents P < 0.05, n = 6 for each group.
PMC10206167
fcvm-10-1089151-g003.jpg
0.402365
72b66f5a26314a72a4bdf6f83a55c33f
Expression differences between the Con and the RIPostC group. (A) Shared and unique expressed genes displayed by Venn analysis. (B) Differences of expression pattern exhibited by PCA analysis.
PMC10206167
fcvm-10-1089151-g004.jpg
0.451728
f85495b250f34465ac267fbcfe3defa4
DEGs identification and analysis. (A) Red and green dots represented up and down regulated genes by Volcano map. (B) The expression levels of DEGs and similarity between samples as well as DEGs showed by heatmap.
PMC10206167
fcvm-10-1089151-g005.jpg
0.458979
ccc9111d12ce416a9a48a97d97e44a96
Go and KEGG annotation analysis of DEGs. (A) Annotated GO terms of DEGs. (B) Annotated KEGG pathways of DEGs.
PMC10206167
fcvm-10-1089151-g006.jpg
0.51009
75252994bc054bf2b04f7ab53ed68d62
Expression levels of DEGs validated by qRT-PCR. (A–D) The relative mRNA expression comparisons of Caspase-6, Prodh1, Claudin-5 and ADAMTS15 respectively in the RIPostC and the Con group. *Represents P < 0.05, n = 6 for each group.
PMC10206167
fcvm-10-1089151-g007.jpg
0.458524
ae4a312363724c8a81611fd1a5ca2dcd
The correlation between the relative expression of ADAMTS15 and the levels of cardiac inflammatory factors. (A–D) The correlation between the relative mRNA expression of ADAMTS15 and the levels of cardiac IL-1β, IL-6, IL-10 and TNFα respectively in the RIPostC and the Con group. *Represents P < 0.05, n = 6 for each group.
PMC10206167
fcvm-10-1089151-g008.jpg
0.405872
80d0442020a54310b397aa1af7b7ba18
Enzyme-catalyzed cobalt insertion reactions for the biosynthesis of vitamin B12. (a) The two biosynthetic pathways for vitamin B12 involve early- and late-stage insertion of the catalytic cobalt ion, respectively.2,7 CoII insertion into the porphyrin substrate sirohydrochlorin (SHC) to form cobalt-sirohydrochlorin (CoII-SHC) is catalyzed by the cobaltochelatase CbiK.17 CoII insertion into the ring-contracted substrate hydrogenobyrinic acid a,c-diamide (HBAD) to form cobyrinic acid a,c-diamide (CBAD) is catalyzed by the cobaltochelatase CobNST, which requires energy input from ATP hydrolysis and an additional metallochaperone (CobW) for CoII supply in vivo.(4,9) (b) Absorbance spectra of isolated substrates and SDS-PAGE analyses of isolated enzymes (full-length gel images shown in Figure S1).
PMC10206600
au3c00119_0002.jpg
0.497669
4016444bb6ac49219c4184d32587687f
Buffered metal concentration-dependent rate of conversion of HBAD to CBAD by CobNST via steady-state kinetics. (a) UV–visible absorbance of HBAD (11.6 μM) before (black line) and 3.5 h after (red line) incubation with CoII (100 μM) and CobNST (3 μM of each subunit) in the presence of MgCl2 (10 mM) and ATP (5 mM). The inset shows absorbance at 330 nm over time, following the addition of cobalt. (b) Initial formation of CBAD when HBAD (10 μM) was incubated with CoII (100 μM), MgII (10 mM), and ATP (5 mM) in the presence (filled circles) or absence (open circles) of CobNST (3 μM of each subunit). (c) CobNST-catalyzed metalation of HBAD (initial concentration 10 μM) when available [CoaqII] was buffered to different availabilities using l-histidine to achieve sub-micromolar concentrations (Table S1). Initial rates (v0) were calculated from linear fits of the data for the first 6 min of reaction at each condition (shown by dashed lines). (d) Steady-state kinetics for CoII insertion into HBAD by CobNST. Initial rates of metalation (v0) relative to enzyme concentration ([E]tot = 0.5μM) were determined at varying available [CoII] (see Table S1 for experimental conditions). Data are the mean ± s.d. of three independent experiments. All reactions were carried out in 50 mM Hepes buffer pH 7.0, 100 mM NaCl.
PMC10206600
au3c00119_0003.jpg
0.503551
5b631e53215542698fdfdc30127ba46d
CobW enhances corrin biosynthesis in vivo, but MgIIGTP-CobW quenches the formation of CBAD by CobNST in vitro. (a) Corrin production by engineered E. coli* strains with and without cobW following 4 h exposure to 300 μM CoCl2. Data are the mean ± s.d. of three biologically independent replicates. Triangle shapes represent individual experiments. (b) All data refer to E. coli* cells grown in LB media with 1–300 μM CoCl2 supplementation. CobW-dependent corrin synthesis was determined from the difference in measured corrin production for +cobW versus −cobWE.coli* strains as a proportion of total corrin produced by the +cobW strain (panel (a) and ref (4)). CobNST metalation was estimated using Km for CoII and measured intracellular CoII availabilities in E. coli* at each growth condition (Figure 2d, Table S2 and ref (4)). (c) CobNST-catalyzed formation of CBAD when CoII (100 μM) was supplied in the presence of a metal buffering ligand (6 mM L-His; [CoaqII] = 40 nM) without CobW (dashed line), with 3 or 30 μM CobW (open circles, indistinguishable) or with 100 μM CobW (closed circles). The solid line shows control experiment when CoII was supplied in the absence of a buffering ligand. (d) Initial absorbance spectra of reactions from (c) without CobW (black trace) or with 100 μM CobW (red trace). Difference spectra (inset) matches the known absorbance spectrum of CoIIMgIIGTP-CobW with a concentration of 81 μM inferred from signal intensity at 339 nm.4 All reactions were performed in 50 mM Hepes pH 7.0, 100 mM NaCl with MgII (10 mM), ATP (5 mM), GTP (1 mM), and CobNST (3 μM of each subunit).
PMC10206600
au3c00119_0004.jpg