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0.421832 | ba5212373edc4794999a6b31bbbe6899 | Reconstitution of RAGE promotes the remission of replication stress-associated defects. (A) The graphical presentation of the total number of colonies formed from the assay is shown in Supplementary Figure 24 A. Data represent mean ± SD, ****P < 0.0001; n = 6. Panel EV represents the cells transfected with an empty vector, FL represents full-length RAGE, ΔCTD or ΔNTD represents the deletion constructs, and MNBR represents Mcm2 non-binding RAGE. Details of these constructs were described in Supplementary Figure 2 A. (B) The graphical presentation of the total number of OPT domain associated large 53BP1 foci is shown in Figure 8C. Data represent mean ± SD, ****P < 0.0001; n = 3; >300 cells were analyzed for each condition. (C) Representative images of the OPT domain associated single large 53BP1 foci observed in HU (2 mM, 4 h) treated WT or RAGE−/− Hela cells reconstituted with the various RAGE constructs. The areas marked in dotted boxes are shown in the zoomed window. The abbreviations for EV, FL, ΔNTD, ΔCTD, and MNBR are mentioned in (A) (scale 25 μm). (D) Quantitative analysis of the frequency of micronuclei in WT and RAGE−/− HeLa cells shown in Supplementary Figure 25. Data represent mean ± SD, ****P < 0.0001; n = 3; >240 cells were analyzed for each condition. | PMC10018352 | gkad085fig8.jpg |
0.417107 | 7b5b2be5adca47c3b396113c898c604e | Restoration of RAGE levels promotes the increased tolerance to replication stress. (A) Schematic preview and the quantitative data showing the length of tracts observed in DNA fiber assay in Hela RAGE−/− cells complemented with full-length, MNBR or the EV. The Hela (Hela RAGE+/+) cells served as an internal control. The red bar indicates median. Mann-Whitney non-parametric test was used to compare the differences. For quantification >200 tracts were scored for each data set; ***P < 0.001; ****P < 0.0001; n = 3. (B) Schematic preview and quantitative fiber spreading data, showing the ratio of sister forks. Hela RAGE−/− cells complemented with either full-length, MNBR or the EV. The Hela (Hela RAGE+/+) cells served as an internal control. The red bar indicates median. Mann-Whitney non-parametric test was used to compare the differences. For quantification >40 tracts were scored for each data set; ****P < 0.0001; n = 3. (C) Quantitative fiber spreading data showing the percentage of stalled (CldU only) forks from HeLa RAGE−/− cells complemented with full-length, MNBR or the EV. The Hela (Hela RAGE+/+) cells served as an internal control. For quantification >200 tracts were scored for each data set; *P < 0.05; n = 4. | PMC10018352 | gkad085fig9.jpg |
0.485382 | c0ef1cdde50c462481e523b4dbf0d493 | Perturbations to the nuclear RAGE/Mcm2 axis are associated with an elevated frequency of micronuclei, expression of 53BP1 in OPT-domain, premature loss-of-ciliated zones, incidences of tubular-karyomegaly, and also the interstitial fibrosis. | PMC10018352 | gkad085figgra1.jpg |
0.487212 | 0dfbbcc5de5b4efd8f1d693597846147 | Mobile measurements of CH4 across emitted plume from
plant W011 in August for 11 downwind transects along the far downwind
(north) side of the highway (a) and associated posterior PDF for all 22 transects (b) colored by transect number. The PDF
measured after the first transect processed using an initial uninformative
uniform prior distribution is shown as a dotted black line in (b).
Measured CH4 concentrations are averaged over the north
and south transects (c), and insets provide a comparison of the modeled
(orange) and measured (cyan) enhancements. Significant enhancements
are observed downwind of the anaerobic digesters toward the north
end of the plant (pink cross). For reference, ERA5 model wind direction
was 167° east of north. | PMC10018768 | es2c05373_0002.jpg |
0.389718 | 3dd8f35fd79842658d10b912fc81546a | Estimated
CH4 emission rate (a) and emission factor
(b; emission rate normalized by influent organic load, where available)
for plants with different flow rates, averaged across observational
periods, where applicable. Colors/markers indicate the type of treatment
used by each plant. The best fit line, as determined by orthogonal
distance regression on a log–log plot, is given in (a) and
the log-linear relationship between ER and flow rate (F; slope of 1.2 ± 0.1, intercept of 1.0 ± 0.1) is given.
Error bars represent the standard deviation around the mean. Both
axes are presented on a log scale. | PMC10018768 | es2c05373_0003.jpg |
0.527735 | d44a3bd9583e44d99f7159e4ea714130 | Distribution of US emissions from domestic
wastewater treatment,
excluding septic systems. For reference, the expected value (mean)
of the lognormal distribution (vertical green solid line) and the
current US EPA inventory (vertical dotted black line) are shown. | PMC10018768 | es2c05373_0004.jpg |
0.450928 | 8b0f5eada7db443981daebde76b83042 | Ratio of measured CH4 emissions to IPCC-based estimates
for 63 domestic wastewater treatment plants plotted by flow rate (MGD).
Both axes are plotted on a logarithmic scale. Colors/markers indicate
the type of treatment used by each plant. Values lying above the one-to-one
line (black dotted horizontal line) are shaded blue, representing
measurements that are greater than IPCC-based estimates. Conversely,
values lying below the one-to-one line are shaded orange, suggesting
that true emissions are overestimated when using the IPCC guidelines.
The median ratio of 2.9 across all measured sites is presented (red
line). For clarity, error bars in the x-direction are omitted. | PMC10018768 | es2c05373_0005.jpg |
0.444385 | 5ef9c4b1635b41f7abd157fb73c15d3c | Preoperative X-ray. | PMC10019132 | medi-102-e33227-g001.jpg |
0.450036 | 7b76a7aec4914800b9d3eaa1d47ad4be | preoperative squatting position. | PMC10019132 | medi-102-e33227-g002.jpg |
0.472817 | e1c3ebc0084943598778040361fac8be | After femoral neck osteotomy (the left dashed triangle is the narrow femoral medullary cavity, and the right dashed circle is the acetabular side. It can be seen that the patient’s acetabular dysplasia is secondary, and the acetabular leukoplakia is in the shape of a “shallow disc”). | PMC10019132 | medi-102-e33227-g003.jpg |
0.426771 | 49c28e7baaaf4f9997055eec6f2a0eaa | Before reaming, the size of the smallest medullary cavity file should be compared according to the preoperative CT results. First, use a hand drill to ream the medulla, then circulate the wire 2cm below the osteotomy surface to avoid bursting, and then use a pendulum saw to split it vertically. End the femoral cortex to the steel wire, so as to achieve the purpose of controlling the direction and extent of iatrogenic fractures during the operation. CT = computed tomography. | PMC10019132 | medi-102-e33227-g004.jpg |
0.422003 | 313c062418284d3492b83114d64a038b | uses the single-strand steel wire cerclage technique, with 3-4 wires placed in the grooves respectively, and pay attention to protecting the muscles when scoring. The steel wire knot should be carefully twisted and fixed in a lower position to prevent the protrusion from irritating the surrounding soft tissues and causing pain. | PMC10019132 | medi-102-e33227-g005.jpg |
0.463171 | 207c6a3bc8324b2fb39a0603372e918b | Postoperative X-ray. | PMC10019132 | medi-102-e33227-g006.jpg |
0.443896 | 5ce998a699ee4ed2a2a8e007855b1c65 | postoperative squatting position. | PMC10019132 | medi-102-e33227-g007.jpg |
0.507513 | d766d9b4d0694f4795b8eb2235375889 | Flow of studies through the review, PRISMA 2020 flow diagram [31].ACBT: active cycle breathing technique, CPT: chest physiotherapy, PEP: positive expiratory pressure, OPEP: oscillating positive expiratory pressure IMT: inspiratory muscle training, ELTGOL: slow expiration with the glottis opened in a lateral posture, HFWCO: high frequency chest wall oscillation. | PMC10019700 | pone.0282393.g001.jpg |
0.414915 | 1a50a7af08574cbca69694a4d62b319a | Types of physiotherapy interventions used across included studies. | PMC10019700 | pone.0282393.g002.jpg |
0.450844 | 4bf21b127c874d21844f56d12a50e13a | Frequency of outcomes reported per trial. | PMC10019700 | pone.0282393.g003.jpg |
0.424521 | 6e4a88101e904b10919cd005fd210baf | UBE2K is upregulated in tissues and cell lines of PDAC and predicts a poor prognosis. (A) UBE2K was highly expressed in PDAC tissues (left, red) compared with normal tissues (right, black) in GEPIA. (B) Reverse transcription-quantitative PCR and (C) western blotting results indicated that UBE2K was highly expressed in PDAC cell lines (AsPC-1, BxPC-3, PANC-1 and SW1990) compared with HPNE in RNA and protein levels. The databases of (D) GEPIA and (E) Kaplan-Meier plotter indicated higher UBE2K expression correlated to lower overall survival in PDAC patients. (F) Kaplan-Meier plotter survival analysis indicated that patients with higher expression of UBE2K exhibited lower relapse free survival rate. *P<0.05, **P<0.01, ***P<0.001. UBE2K, ubiquitin-conjugating enzyme E2K; PDAC, pancreatic ductal adenocarcinoma; GEPIA, gene expression profiling interactive analysis; HPNE, normal human pancreatic cells; HR, hazard ratio. | PMC10019758 | IJO-62-4-05500-g00.jpg |
0.365587 | fed0940c295d40a893fd943dce08fd58 | Overexpression of UBE2K promotes proliferation and stemness of PDAC in vitro. (A) Reverse transcription-quantitative PCR and (B) western blotting results confirmed that overexpression stably transduced strains of UBE2K was established in BxPC-3 and PANC-1. (C) CCK-8 and (D) colony formation assays indicated overexpression of UBE2K promoted proliferation ability. (E) Western blotting results indicated overexpression of UBE2K promoted stemness genes expression. (F) Sphere formation results indicated the overexpression of UBE2K increased the size of sphere (scale bar, 200 µm). *P<0.05, **P<0.01, ***P<0.001. UBE2K, ubiquitin-conjugating enzyme E2K; PDAC, pancreatic ductal adenocarcinoma; NC, negative control. | PMC10019758 | IJO-62-4-05500-g01.jpg |
0.413072 | d0f02030cb6743fea80bc59536a013a7 | Knockdown of UBE2K suppresses proliferation and stemness of PDAC in vitro. (A) Reverse transcription-quantitative PCR and (B) western blotting results confirmed that knockdown stably transduced strains of UBE2K was established in BxPC-3 and PANC-1. (C) CCK-8 and (D) colony formation assays indicated knockdown of UBE2K reduced proliferation ability. (E) Western blotting results indicated knockdown of UBE2K decreased stemness genes expression. (F) Sphere formation results indicated the knockdown of UBE2K decreased the size of spheres (scale bar, 200 µm). *P<0.05, **P<0.01, ***P<0.001. UBE2K, ubiquitin-conjugating enzyme E2K; PDAC, pancreatic ductal adenocarcinoma; NC, negative control; sh, short hairpin. | PMC10019758 | IJO-62-4-05500-g02.jpg |
0.425362 | d7a23a079fc24619922e85d123c0231c | UBE2K promotes PDAC growth in vivo. (A) The tumors of UBE2K overexpression group were larger compared with NC in nude mice. The (B) volume and (C) weight of UBE2K overexpression group were larger compared with NC in the tumors of nude mice. The RNA (D) and (E) protein level of UBE2K overexpression group were higher compare to NC group. (F) The tumors of shNC group were larger compared with shUBE2K#1 and shUBE2K#2 groups in nude mice. The (G) volume and (H) weight of shNC groups were larger compared with shUBE2K#1 and shUBE2K#2 groups in the tumors of nude mice. The (I) RNA and (J) protein level of shNC were higher compared with shUBE2K#1 and shUBE2K#2 groups. **P<0.01, ***P<0.001. UBE2K, ubiquitin-conjugating enzyme E2K; PDAC, pancreatic ductal adenocarcinoma; NC, negative control; sh, short hairpin. | PMC10019758 | IJO-62-4-05500-g03.jpg |
0.407002 | e4e91b979eed4afb8ab2bac9f9cc1131 | UBE2K is regulated by IGF2BP3 in PDAC. (A) In GEPIA, IGF2BP3 was associated with UBE2K in PDAC. (B) Reverse transcription-quantitative PCR and (C) western blotting results indicated overexpression of IGF2BP3 led to upregulation of UBE2K in RNA and protein levels. (D) Reverse transcription-quantitative PCR and (E) western blotting results indicated knockdown of IGF2BP3 led to decrease of UBE2K in RNA and protein levels. (F) Shortened UBE2K RNA half-life by knockdown IGF2BP3 in BxPC-3 cells. *P<0.05, **P<0.01, ***P<0.001. UBE2K, ubiquitin-conjugating enzyme E2K; PDAC, pancreatic ductal adenocarcinoma; GEPIA, gene expression profiling interactive analysis; NC, negative control; si, short interfering. | PMC10019758 | IJO-62-4-05500-g04.jpg |
0.41892 | f79253dae7bc45988937b9cf6534afed | The effect of UBE2K can be revered by IGF2BP3 in PDAC. (A) Reverse transcription-quantitative PCR and (B) western blotting results in the groups of NC + siNC, UBE2K + siNC and UBE2K + siIGF2BP3. The (C) CCK-8 and (D) colony formation assays results in the groups of NC + siNC, UBE2K + siNC and UBE2K + siIGF2BP3. (E) Reverse transcription-quantitative PCR and (F) western blotting results in the groups of shNC + vector, shUBE2K + vector and shUBE2K + IGF2BP3. The (G) CCK-8 and (H) colony formation assays results in the groups of shNC + vector, shUBE2K + vector and shUBE2K + IGF2BP3. *P<0.05, **P<0.01, ***P<0.001. UBE2K, ubiquitin-conjugating enzyme E2K; PDAC, pancreatic ductal adenocarcinoma; NC, negative control; si, short interfering; sh, short hairpin. | PMC10019758 | IJO-62-4-05500-g05.jpg |
0.448058 | c354f285e8f54e048fac063be7788b14 | A) Chest radiograph showing bilateral alveolar involvement in relation to COVID-19 pneumonia. (B) Chest radiograph showing improvement of alveolar involvement and the appearance of a pulmonary nodule in the middle lobe (arrow). C) Coronal computed tomography (CT) reconstruction on the mediastinal window setting showing a hyperdense nodule in the middle lobe (arrow). D) Coronal CT reconstruction on the mediastinal window setting of the same patient five months later, with a reduced pulmonary nodule both in size and density (3 HU) (arrow). | PMC10020037 | gr1_lrg.jpg |
0.39154 | f6aba198df924455a5af8a9d1264d346 | A) Chest radiograph showing bilateral faint opacities and consolidation in relation to COVID-19 pneumonia. B) Axial computed tomography (CT) image in lung window setting showing bilateral ground-glass opacities and focal consolidation in the left lower lobe. C) Follow-up radiograph one month after hospital discharge showing a smooth-edged nodule in the middle lobe (arrow). D and E) Axial CT images in lung and mediastinal window settings respectively, showing a hypodense pulmonary nodule (5 HU) in the middle lobe (arrow). F) Chest radiograph after six months indicating the reduced size of the pulmonary nodule (arrow). | PMC10020037 | gr2_lrg.jpg |
0.417867 | 0625c432d3a64f31b23a5ced9f676032 | Habitat photo (A) of Oryza longistaminata from Madagascar where it forms a dense stand in a natural wetland. The flower (B) is characterized by its very long stamens, and it is the only rhizome-bearing species in the AA genome; horizontal rhizomes are indicated by yellow arrowheads and blue arrowheads indicate vertical ramets (C). The leaves are superhydrophobic (D) and retain a thin gas film during submergence facilitating gas exchange (CO2 and O2) with the floodwater (Colmer and Pedersen 2008). Photos by Jean-Augustin Randriamampianina (A) or the authors (B-D) | PMC10020418 | 12284_2023_630_Fig1_HTML.jpg |
0.459943 | c19494b9493445f5b5ec7a2da5e65085 | 2,634 geo-referenced occurrences of Oryza longistaminata. Lightly coloured hexagons indicate few observations whereas darker hexagons indicate numerous observations. The insert shows the Okavango Delta where O. longistaminata is found in high densities. Data were extracted from www.Gbif.org in December 2022 | PMC10020418 | 12284_2023_630_Fig2_HTML.jpg |
0.407208 | c56f722cabb64ccf9c702c71ff80fe5b | The pathway from wild Oryza longistaminata to novel de novo domesticated O. “toleransa” using genome editing. Target genes are listed in Tables 1, 2 and 3 in order of priority from essential silencing of highly undesirable genes over genes used to target specific environmental conditions to enhancing expression of genes resulting in attractive genotypes | PMC10020418 | 12284_2023_630_Fig3_HTML.jpg |
0.423272 | 52729e8b9895416eae163aecd40788b6 | Timeline for de novo domestication of Oryza longistaminata. (1) establishment of a transformation system and selection of genotype(s) based on field performance under the relevant abiotic stress conditions, (2) multiple cycles of knockout of target genes, and (3) a final cycle of field evaluation in the relevant target environments. Created with BioRender.com | PMC10020418 | 12284_2023_630_Fig4_HTML.jpg |
0.450044 | 702322d30dbe4f81bfdb8b6dfe3cf3bc | Description of study sample, Longitudinal Aging Study in India, 2017–18. | PMC10021153 | pgph.0000512.g001.jpg |
0.496734 | 726193b650214afbb1a24b9b8dcc7fab | Heat maps depicting non-communicable disease dyads prevalence for (A) women and (B) men aged 45 years and above, Longitudinal Ageing Study in India (LASI), 2017–18. | PMC10021153 | pgph.0000512.g002.jpg |
0.441641 | ecadff546b2c4658aec57b8a3fb55db6 | Multimorbidity networks for (A) women and (B) men aged 45 years and above, considering inclusion criterion for sixteen non-communicable diseases, Longitudinal Ageing Study in India (LASI), 2017–18. | PMC10021153 | pgph.0000512.g003.jpg |
0.42136 | d5f09af759224ec8b0465bff3a92bd91 | Flowchart of study inclusion criteria.Note: CHARLS, the China Health and Retirement Longitudinal Study. | PMC10021527 | pgph.0000520.g001.jpg |
0.396238 | f3ccb991dc6b4beb9fa0d4a9ce6dc43c | Predicted probabilities of 11-year PM2.5 exposure on latent multimorbidity patterns by age groups.Note: Models adjusted for age, age squared, gender, education, HuKou-residence, occupations, marital status, smoking status and logged GDP. | PMC10021527 | pgph.0000520.g002.jpg |
0.485763 | d405743fc9294a84b4b2dd42ff75362c | Predicted multimorbidity score across PM2.5 exposure by age.Note that this model controls age, age squared, gender, education, HuKou-residence, occupations, marital status, smoking status, and logged GDP. | PMC10021527 | pgph.0000520.g003.jpg |
0.501127 | 348cd41caa9a4b3a9cc9dbc502663fbc | Predicted multimorbidity score across PM2.5 exposure by HuKou-residence.Note that this model controls age, age squared, gender, education, HuKou-residence, occupations, marital status, smoking status and logged GDP. | PMC10021527 | pgph.0000520.g004.jpg |
0.444455 | f521d07e6cd340a4833a3dd1f97bca54 | Effect of hydralazine (HYD) and valproic acid (VPA) on adult and neonatal fibroblast cell viability. Dose–time response curves were performed to evaluate the effect of HYD (panel A and B) and VPA (panel C and D) on adult and neonatal fibroblast cell viability. Two-way ANOVA with Dunnett multiple comparison tests was used for comparisons between control and other groups. The combined effect of 30 µM HYD and 1 mM VPA on cell viability of adult (panel E) and neonatal (panel F) fibroblasts during 96 h. The Mann–Whitney U test was used for comparisons between the control and HYD + VPA group. Values are expressed as mean ± standard error of the median from three independent experiments. *P < 0.05; **P < 0.01; ***P < 0.001 | PMC10021945 | 13287_2023_3268_Fig1_HTML.jpg |
0.451466 | 36642ed502fd463daff0c9629fe4afd6 | Half maximal inhibitory concentration (IC50) of hydralazine (HYD) and valproic acid (VPA) in adult and neonatal fibroblasts. IC50 values for HYD (panel A and B) and VPA (panel C and D) on adult and neonatal fibroblasts were determined at 72 h by dose–response curve fitting the log (inhibitor) vs. normalized response analytical method. Values are expressed as mean ± standard error of the median from three independent experiments. R2 values are displayed | PMC10021945 | 13287_2023_3268_Fig2_HTML.jpg |
0.4196 | fe60025043a14abe813ba9637a61e0f2 | Expression of pluripotency genes by the effect of hydralazine (HYD) and valproic acid (VPA) in adult and neonatal fibroblasts. Adult and neonatal fibroblasts were treated for 72 h with 30 µM HYD, 1 mM VPA or the combination of both. Total RNA was extracted for each group, and RT-qPCR assays were performed for OCT4 (panel A), NANOG (panel B), c-Myc (panel C) and KLF4 (panel D) genes. Gene expression analysis were performed by technical triplicate of three biological replicates. Values are expressed as mean ± standard error of the median. The Mann–Whitney U test was used for comparisons between each group. *P < 0.05 | PMC10021945 | 13287_2023_3268_Fig3_HTML.jpg |
0.464526 | 4c08608767b54fec9380926db0e51386 | CpG methylation analysis of OCT4 and NANOG promoter regions in adult and neonatal fibroblasts. Panel A, schematic representation of CpG methylation (5′-CCGG-3′) sites at OCT4 and NANOG promoters. CpG methylation analysis of OCT4 (panel B and D) and NANOG (panel C and E) promoters in adult and neonatal fibroblasts. Fibroblasts were treated for 72 h with 30 µM HYD. Gene expression analysis were performed by technical duplicate of three biological replicates. Values are expressed as mean ± standard error of the median. The Mann–Whitney U test was used for comparisons between groups | PMC10021945 | 13287_2023_3268_Fig4_HTML.jpg |
0.391091 | b2efe5cb9e5f4f319df9571826e6b9af | Evaluation of reprogramming efficiency by the effect of hydralazine (HYD) in adult and neonatal fibroblasts. Panel A, iPSC generation scheme with or without 30 µM HYD (w/wo HYD). hESC, human embryonic stem cells; iMEF, inactivated mouse embryonic fibroblasts. Panel B, representative images of the characteristic morphology of iPSC colonies (passage No. 3) from adult and neonatal fibroblasts. White bar in each micrograph corresponds to 400 µm. Colony number of iPSC with or without HYD treatment in adult (panel C) and neonatal (panel D) fibroblasts. Values are expressed as mean ± SEM from three independent experiments. Two-tailed Student's t test was used for comparisons between groups. Detection of pluripotency markers OCT4, NANOG, SOX2 and SEEA4 by immunofluorescence assays on iPSC colonies generated from adult (panel E) and neonatal (panel F) fibroblasts. Images were taken with a 10 × objective lens. White bar in each micrograph corresponds to 400 µm | PMC10021945 | 13287_2023_3268_Fig5_HTML.jpg |
0.473175 | 838b1eacdb9a402f83b40ae81747f70d | Expression analysis of genes implicated in DNA methylation and chromatin remodeling complexes by the effect of hydralazine (HYD). Adult and neonatal fibroblasts were treated for 72 h with 30 µM HYD. Total RNA was extracted for each group and RT-qPCR assays were performed for DNMT1 (panel A), TET3 (panel B), ARID1 (panel C), and ARID2 (panel D) genes. Gene expression analysis were performed by technical triplicate of three biological replicates. Values are expressed as mean ± SEM. The Mann–Whitney U test was used for comparisons between groups. *P < 0.05 | PMC10021945 | 13287_2023_3268_Fig6_HTML.jpg |
0.47722 | ef69ec8794ba494cb936fbca39f3e461 | Schematic model of hydralazine (HYD) regulation on pluripotent and chromatin remodeling genes in human fibroblasts. HYD up-regulates OCT4 and NANOG genes in adult human fibroblasts (aHF) and down-regulates DNMT1, ARID1A and ARID2 genes in neonatal human fibroblasts (nbHF) | PMC10021945 | 13287_2023_3268_Fig7_HTML.jpg |
0.391812 | 9e69732d7cbb49bb8ba46172c7050f2b | The change trend of FOXP3 + , CD8 + , CD206 + and CD86 + cells with tumor cell density. A. Counting tumor cell density and immune cell density in the same visual field. B. Quantification of tumor cell density (n = 65); Five visual fields were randomly selected for cell counting in each sample. C. Quantification of CD8 + and FOXP3 + cells density in HCC by immunohistochemistry (n = 65); Five visual fields were randomly selected for cell counting in each sample. D. Trends of FOXP3 + /CD8 + ratio with tumor cell density and grouping. E. FOXP3 + and CD8 + infiltration degree after grouping by HCC cell density (< 5000 cells/mm2, 5000–6000 cells/mm2 and ≥ 6000cells/mm2); Scale bar, 50 µm. F. Quantification of CD206 + and CD86 + cells density in HCC by immunohistochemistry (n = 65); Five visual fields were randomly selected for cell counting in each sample. G. Trends of CD206 + /CD86 + ratio with tumor cell density and grouping. H. CD206 + and CD86 + infiltration degree after grouping by HCC cell density (< 5000 cells/mm2, 5000–6000 cells/mm2 and ≥ 6000cells/mm2); Scale bar, 50 µm. I. Comparison of FOXP3 + /CD8 + ratio and CD206 + /CD86 + ratio between < 5000 cells/mm2 (n = 23), 5000–6000 cells/mm2 (n = 14) and ≥ 6000cells/mm2 (n = 28). The data represent the mean ± S.D. ANOVA or Kruskal–Wallis test were used for statistical analysis. *P < 0.05; **P < 0.01; ***P < 0.001 | PMC10022186 | 12967_2023_4060_Fig1_HTML.jpg |
0.431104 | 4b426bcdae1447b78124734924357f39 | Tregs/CD8 + T cells fluctuation induced by regional heterogeneity of HCC. A. Heterogeneity of tumor cell density exists in different regions of the same HCC tissue; Five areas are selected in one sample; The data represent the mean ± S.D. B. In sample 8, Treg/CD8 + T cell ratio showed linear changes in different regions; Heterogeneous tumor cell density fluctuates within the range of < 5000 cells/mm2. C. In sample 36, Treg/CD8 + T cell ratio in different regions; Heterogeneous tumor cell density fluctuated across 5000–6000 cells/mm2. D. In sample 50, Treg/CD8 + T cell ratio showed linear changes in different regions; Heterogeneous tumor cell density fluctuated within the range of ≥ 6000 cells/mm2. E. Fifteen samples involving more than two intervals of < 5000 cells/mm2, 5000–6000 cells/mm2 and ≥ 6000 cells/mm2 were described for the change trend of Treg/CD8 + T cell ratio across intervals; Five areas were selected in one sample and Treg/CD8 + T cell ratio of the same interval was taken as an average value | PMC10022186 | 12967_2023_4060_Fig2_HTML.jpg |
0.471725 | fee085d260de49cea1d5be238c264768 | The fluctuation of IL-8 expression on the tumor cell density axis is consistent with Tregs/CD8 + T cell infiltration. A. Quantification of tumor cell density in HCC dataset of TCGA database; Five visual fields were randomly selected for cell counting in each sample. B. Ratio of infiltration degree of Treg and CD8 + T cell after grouping by HCC cell density (< 5000 cells/mm2, 5000–6000 cells/mm2 and ≥ 6000cells/mm2); Data obtained from the TCGA database; Quantification of infiltration degree based on CIBERSORT-ABS algorithm. C. Trends of FOXP3 + /CD8 + ratio with tumor cell density and grouping. D. mRNA expression of soluble factors in HCC after grouping by HCC cell density (< 5000 cells/mm2, 5000–6000 cells/mm2 and ≥ 6000cells/mm2); The number shows the expression of factors with significant difference. Data obtained from the TCGA database. E. The protein expression of IL-8 in HCC after grouping by HCC cell density (< 5000 cells/mm2, 5000–6000 cells/mm2 and ≥ 6000cells/mm2); Scale bar, 50 µm. F. Quantification of IL-8 protein expression in HCC after grouping by HCC cell density (< 5000 cells/mm2, 5000–6000 cells/mm2 and ≥ 6000cells/mm2) (n = 65); Image J was used for quantification. The data represent the mean ± S.D. ANOVA or Kruskal–Wallis test were used for statistical analysis. *P < 0.05; **P < 0.01; ***P < 0.001 | PMC10022186 | 12967_2023_4060_Fig3_HTML.jpg |
0.487402 | 5ebd740f16714f8a8ca8f699aac431ef | IL-8 is the mediator of density related immune fluctuations. A. mRNA expression of soluble factors in Huh-7 cells with different cell densities; determination after 24 h of culture. B. IL-8 mRNA expression of Huh-7 cells at different cell densities, and IL-8 concentration of Huh-7 cells in culture medium of different cell densities; determination after 24 h of culture. C. Quantification of IL-8 protein expression in the 3D culture of Huh-7 cells with different cell densities; Image J was used for quantification; Three visual fields were randomly selected for counting in each sample; scale bar, 50 µm. D. Spearman correlation scatter plot of IL-8 expression and lymphocytes including Tregs and CD8 + T cells in HCC (n = 65). E. Gating strategy of flow cytometry analysis. F. Effect of coculture with gradient density Huh7 with IL-8 fluctuation on Tregs polarization in PBMCs; determination after 24 h of culture. G. Effect of coculture with IL-8 KD and control Huh-7 cells (1 × 105 cells/cm2) on Tregs polarization in PBMCs; IL-8 concentration in the culture medium of IL-8 KD and control Huh-7 cells (1 × 105 cells/cm2); determination after 24 h of culture. H. Effect of coculture with IL-8 OE and control HCCLM3 cells (2 × 105 cells/cm2) on Tregs polarization in PBMCs; IL-8 concentration in the culture medium of IL-8 OE and control HCCLM3 cells (2 × 105 cells/cm2); determination after 24 h of culture. I. Effect of recombinant IL-8 (10 ng/mL, 24 h) on Tregs polarization in PBMCs; determination after 24 h of culture. The data represent the mean ± S.D. of three independent experiments. Mann–Whitney U test or t-tests were used to compare the means of two groups. ANOVA were used for comparison among three groups. *P < 0.05; **P < 0.01; ***P < 0.001. Abbreviations: KD, knockdown; OE, overexpression; PBMCs, peripheral blood mononuclear cells | PMC10022186 | 12967_2023_4060_Fig4_HTML.jpg |
0.44178 | ac3734cc7ea243319c46634395197b7b | IL-8 enhances lactate production of HCC cells. A. IL-8 concentration in the culture medium of IL-8 KD and control Huh-7 cells; determination after 24 h of culture. B. Quantification of Huh-7 lactate production in the IL-8 KD and control groups; determination after 24 h of culture. C. Quantification of Huh-7 lactate production in the IL-8 KD and control groups; the protein concentration was used to standardize lactate production; determination after 24 h of culture. D. Quantification of HCCLM3 (2 × 105 cells/cm2) lactate production in the IL-8 OE and control groups; the protein concentration was used to standardize lactate production; determination after 24 h of culture. E. Expression of lactate in HCC samples in low IL-8 group (n = 7) and high IL-8 group (n = 8); IL-8 expression data obtained from IHC quantified by Image J. F. Comparison of lactate expression between < 5000 cells/mm2 (n = 6), 5000–6000 cells/mm2 (n = 4) and ≥ 6000cells/mm2 (n = 5) in HCC samples. G. Spearman correlation scatter plot of IL-8 and four key enzymes mRNA expression in HCC; Analysis using TCGA database. H. mRNA expression of PFKFB3, HIF1A, PKM2, and HK2 in IL-8 KD and control Huh-7 cells of different cell densities. I. The protein expression of PFKFB3, HIF1A, PKM2, and HK2 in IL-8 KD and control Huh-7 cells; the protein expression of PFKFB3 in Huh-7 cells with different cell densities. J. The protein expression of PFKFB3, HIF1A, PKM2, and HK2 in IL-8 OE and control HCCLM3 cells. The data represent the mean ± S.D. of three independent experiments. Mann–Whitney U test or t–tests were used to compare the means of two groups. ANOVA were used for comparison among three groups. *P < 0.05; **P < 0.01; ***P < 0.001. Abbreviations: KD, knockdown; OE, overexpression | PMC10022186 | 12967_2023_4060_Fig5_HTML.jpg |
0.410435 | 824d1de3167445329d14aa1fe7e6a369 | Enhanced lactate production is mediated by IL-8/DAPK1/PK axis. A. Quantification of Huh-7 lactate production in PFK-158 and control group; determination after 24 h of culture; the protein concentration was used to standardize lactate production. B. Quantification of HCCLM3 (2 × 105 cells/cm2) lactate production in PFK-158 and control group; determination after 24 h of culture; the protein concentration was used to standardize lactate production. C. Quantification of Huh-7 and HCCLM3 PK activity; control and IL-8 KD or OE HCC cells were intervened with PFK-158 (10 µM for 24 h); the protein concentration was used to standardize PK activities. D. Spearman correlation between IL-8 and DAPK1 expression in HCC; IHC and Image J were used for quantification; n = 65. E. The protein expression of DAPK1 in the IL-8 KD and control Huh-7 cells; The protein expression of DAPK1 in Huh-7 cells with different cell densities. F. The protein expression of DAPK1 in IL-8 OE and control HCCLM3 cells. G. The protein expressions of DAPK1 and PKM2 in DAPK1 KD and control Huh-7/HCCLM3 IL-8 OE cells. H. Quantification of lactate production and PK activity in DAPK1 KD and control Huh-7 cells of different cell densities; determination after 24 h of culture. I. Quantification of lactate production and PK activity in DAPK1 KD and control HCCLM3 IL-8 OE cells (2 × 105 cells/cm2) of different cell densities; determination after 24 h of culture. J. Quantification of ECAR in Huh-7 and HCCLM3 cells with PFK-158, DAPK1 KD, and IL-8 KD/OE. K. Effect of coculture with DAPK1 KD and control Huh-7 cells (1 × 105 cells/cm2) on Tregs polarization in PBMCs; IL-8 expression of DAPK1 KD and control Huh-7 cells (1 × 105 cells/cm2); determination after 24 h of culture. L. Effect of coculture with DAPK1 KD and control IL-8 OE HCCLM3 cells (2 × 105 cells/cm2) on Tregs polarization in PBMCs; IL-8 expression of DAPK1 KD and control IL-8 OE HCCLM3 cells (2 × 105 cells/cm2); determination after 24 h of culture. The data represent the mean ± S.D. of three independent experiments. Mann–Whitney U test or t-tests were used to compare the means of two groups. ANOVA were used for comparison among three groups. *P < 0.05; **P < 0.01; ***P < 0.001. Abbreviations: KD, knockdown; OE, overexpression; PBMCs, peripheral blood mononuclear cells; PK, pyruvate kinase | PMC10022186 | 12967_2023_4060_Fig6_HTML.jpg |
0.429958 | decf8e2eccde4d4283ac5a4457a5bc5b | IL-8 combined with high lactate promotes the development of HCC. A. Quantification of IL-8 expression in the four groups including DAPK1 OE, IL-8 OE, IL-8 OE with DAPK1 OE, and control Hepa1-6 groups; the number of cells is 1 × 105; determination after 24 h of culture. B. Quantification of lactate production in four groups of Hepa1-6 cells; determination after 24 h of culture. C. The protein expression of DAPK1 in four groups of Hepa1-6 cells. D. The expression of IL-8 and DAPK1 in the four mice orthotopic HCC groups; Immunohistochemistry was used to determine IL-8 and DAPK1 protein expressions; Scale bar, 50 µm. E. Quantification of lactate concentration in tumor tissues of the four mouse orthotopic HCC groups (n ≥ 3). F. In vivo fluorescence images of the four mouse orthotopic HCC groups (n = 5); Three weeks after Hepa1-6 implantation. G. Macroscopic tumor growth in the four groups orthotopic HCC model. The data represent the mean ± S.D. Mann–Whitney U test or t–tests were used for statistical analysis. *P < 0.05; **P < 0.01; ***P < 0.001. Abbreviations: KD, knockdown; OE, overexpression | PMC10022186 | 12967_2023_4060_Fig7_HTML.jpg |
0.366994 | 675701e984dd4811b38053e37d3af833 | High lactate is the key factor for IL-8 to promote Tregs infiltration in vivo. A. Quantification of Tregs (FOXP3 + , red arrow) and CD8 + T cell infiltration in the four mouse orthotopic HCC groups; immunohistochemistry was used to locate the Tregs and CD8 + T cells; scale bar, 50 µm. B. The infiltration level of Tregs and CD8 + T cells in HCC tissue of the four mice orthotopic HCC groups (n ≥ 3); Three visual fields were randomly selected for cell counting in each sample. The data represent the mean ± S.D. Mann–Whitney U test or t–tests were used for statistical analysis. *P < 0.05; **P < 0.01; ***P < 0.001. Abbreviations: KD, knockdown; OE, overexpression | PMC10022186 | 12967_2023_4060_Fig8_HTML.jpg |
0.457534 | 462f2908bd7d49bda957c1b172d53e87 | Potential significance of immune fluctuation in HCC. A. Grouping method for analyzing variation trend. B. The change trend of subclone number with tumor cell density in HCC. C. The change trend of HCC ploidy with tumor cell density. D. The dispersion tendency of TMB in different groups. E. Relationship between tumor-metapopulation fitness and genomic instability (From reference 27). F. TMB grouping method following the theory of Hanlee P. Ji et al. G. Distribution of TMB in different tumor cell density. H. "Entropy model" describes the competition and balance of different TMB groups in the process of tumor development. The data represent the mean ± S.D. Mann–Whitney U test was used for statistical analysis. *P < 0.05; **P < 0.01; ***P < 0.001 | PMC10022186 | 12967_2023_4060_Fig9_HTML.jpg |
0.419581 | fad251e29c954dbe8139c142f31984d7 | The relationship between altitude and temperature suitability for malaria in PNG.The dots represent duration of extrinsic incubation period (EIP) at the level of census wards of PNG: A) EIP for P. falciparum, and B) EIP for P. vivax. | PMC10022348 | pgph.0000747.g001.jpg |
0.525631 | 1b8e0bfd1bb345d89c0ee81edc5e5b74 | Distribution of health facilities in Papua New Guinea.Locations of 808 health facilities: HC = Health Centre; SC = Sub-Health Centre; CHP = Community Health Post; UC = Urban Clinic. Source of the map base layer: WFP-World Food Programme, 2019. Map created by the authors using a licensed ArcGIS Desktop 10.5 software from Esri (http://www.arcgis.com/). | PMC10022348 | pgph.0000747.g002.jpg |
0.466982 | 64c6affd18504ee99ba2e9f660647537 | Travel time (hours) of the population from their residential places to nearest health facilities.Travel time from raster pixels (30x30 m2) to nearest HF was calculated using the fastest mode of transportation. Source of the map base layer: WFP-World Food Programme, 2019. Source of the map base layer: WFP-World Food Programme, 2019. Map created by the authors using a licensed ArcGIS Desktop 10.5 software from Esri (http://www.arcgis.com/). | PMC10022348 | pgph.0000747.g003.jpg |
0.447872 | f78cc3588a4b4373843d8ca690eadd80 | The average annual malaria incidence (per 1000 population) in catchment areas of health facilities, PNG (2011–2019).The average altitude (meters) and estimated population within two hours travel distance are used. | PMC10022348 | pgph.0000747.g004.jpg |
0.39714 | 808f18e9df45496c98ff95dffd6c1530 | Average annual malaria incidence in catchment areas of health facilities among age groups < 15 years, PNG (2011–2019).Incidence rates per 1000 among: a) children under five years old (U5), c) adolescents (5–14) years old. | PMC10022348 | pgph.0000747.g005.jpg |
0.486963 | 2c202a6d622646c28b0307570ce947d2 | The average annual malaria incidence per 1000 in catchment areas of 772 health facilities, PNG (2011–2019).Annual incidences were calculated as sum of adjusted presumptive and confirmed (using light microscopy or mRDTs) cases and estimates of patients unseeking care, among the population in the catchment area of the health facility. Source of the map base layer: WFP-World Food Programme, 2019. Map created by the authors using a licensed ArcGIS Desktop 10.5 software from Esri (http://www.arcgis.com/). | PMC10022348 | pgph.0000747.g006.jpg |
0.420742 | 45ac7fc66e6048149b68344c531f92c3 | Yearly maps of annual malaria incidence in catchment areas of 806 health facilities, PNG (2011–2019).Five categories of incidence per 1000: > 300 (red), 300–200 (pink), 200–100 (yellow), 100–30 (green), and <30 (blue). Incidence was calculated as annual sum of adjusted presumptive and confirmed (positive microscopy or mRDTs) malaria cases and estimates of patients unseeking care, among the catchment’s population. Source of the map base layer: WFP-World Food Programme, 2019. Map created by the authors using a licensed ArcGIS Desktop 10.5 software from Esri (http://www.arcgis.com/). | PMC10022348 | pgph.0000747.g007.jpg |
0.48474 | 038533f9f4984f2d8eaa157fac036476 | Health facilities (HFs) reporting few malaria cases in children <15 years (2011–2019).The average number of malaria cases in children and adolescents registered per month per HF is less than one. Source of the map base layer: WFP-World Food Programme, 2019. Map created by the authors using a licensed ArcGIS Desktop 10.5 software from Esri (http://www.arcgis.com/). | PMC10022348 | pgph.0000747.g008.jpg |
0.439278 | 3a4f76f85b0b498eafbe0903e62dbb8f | Malaria risk strata using the average annual incidence of cases among the general population, PNG, 2011–2019.Four strata interpolated using empirical Bayesian kriging at catchments of HFs: very low (<30), low (30–100), moderate (100–200), and high (>200 cases per 1000). Source of the map base layer: WFP-World Food Programme, 2019. Map created by the authors using a licensed ArcGIS Desktop 10.5 software from Esri (http://www.arcgis.com/). | PMC10022348 | pgph.0000747.g009.jpg |
0.450391 | 0fc891ce16f64587a4ef142cde7913d7 | Malaria risk strata using the average annual incidence of cases among children <15 years, PNG, 2011–2019.Four strata interpolated using empirical Bayesian kriging at catchments of HFs: very low (≤30), low (30–100), moderate (100–200), and high (>200 cases per 1000). Source of the map base layer: WFP-World Food Programme, 2019. Map created by the authors using a licensed ArcGIS Desktop 10.5 software from Esri (http://www.arcgis.com/). | PMC10022348 | pgph.0000747.g010.jpg |
0.410502 | 2521db5ff78245a8aebcc485c6e4ac1e | Minor side effects of respondents after receiving COVID-19 vaccine. | PMC10022508 | peerj-11-14727-g001.jpg |
0.511933 | d4d665a00a684c3dab37775db5b35e33 | Kaplan–Meier plot of OS based on presence (n = 11) or absence (n = 19) of hydrocephalus in patients with CPA glioblastoma (log-rank test alpha level was 0.05). Patients with no hydrocephalus on admission had a mean OS 18.4 months compared with 5.6 months in patients with hydrocephalus on admission. | PMC10023706 | 41598_2023_30677_Fig1_HTML.jpg |
0.405313 | fbde663c90f14b3794fc0f0c53970feb | Comparison of OS based on treatment modalities (a) with patient subgroups receiving surgery and complete adjuvant treatment (n = 13), surgery and adjuvant radiation treatment (n = 7), surgery alone (n = 9), and no treatment (n = 1). Kaplan–Meier plot of chemotherapy (n = 13), and no adjuvant chemotherapy (n = 17) subgroups (b), and patients with CPA glioblastoma receiving radiation treatment (n = 20), and with no adjuvant radiotherapy (n = 10) (c). OS based on surgery type (d) with subgroup of patients that underwent GTR (n = 4), STR (n = 20), biopsy (n = 5), and no surgery (n = 1). Log-rank test alpha level was set to 0.05. Statistically longer survival was observed in patients receiving surgery with complete postoperative adjuvant treatment, postoperative chemotherapy, and radiation treatment. | PMC10023706 | 41598_2023_30677_Fig2_HTML.jpg |
0.421022 | 9b3203789c334859b049d6a30b004c2d | Kaplan–Meier curve showing OS survival in patients with CPA glioblastoma in our cohort. | PMC10023706 | 41598_2023_30677_Fig3_HTML.jpg |
0.400015 | 09b9dbe8ee9046e8a1a27644ea7e376c | T1-weighted gadolinium-enhanced magnetization-prepared rapid gradient-echo MRI sequence of the brain in the axial plane (a) demonstrates a well-defined extraaxial solid mass of approximately 26 × 23 × 21 mm in the right CPA. T2-weighted MRI turbo spin-echo sequence of the brain in the axial plane (b) revealed peritumoral edema involving the right cerebellar peduncle and compressive effect on the brainstem, the fourth ventricle, and the right foramen of Luschka. Single-voxel MR spectroscopy of the CPA lesion (c) reveals elevated choline concentration, with no other metabolites. Follow-up T1-weighted gadolinium-enhanced MRI in the axial (d) and coronal planes (e) reveal marked enlargement of the tumor with extension to the IAC (arrow). Axial T2-weighted MRI (f) shows further expansion of the tumor mass to 35 × 34 × 33 mm and more pronounced compression on the lateral aspect of the brainstem and the fourth ventricle. | PMC10023706 | 41598_2023_30677_Fig4_HTML.jpg |
0.46011 | e7006c8362084a148233762f6e584268 | Artist’s illustration of exophytic and nerve REZ (inset) CPA glioblastoma ©Elyssa Siegel 2022. | PMC10023706 | 41598_2023_30677_Fig5_HTML.jpg |
0.440925 | d2ec9612c9484fcb96fa728281f5d199 | A cross-section of the funnel-shaped transitional zone within the nerve REZ depicts distinct islands of neuroglial tissue, likely the origin of nerve REZ gliomas. In the transitional zone, both Schwann cells and oligodendrocytes are present ©Elyssa Siegel 2022. | PMC10023706 | 41598_2023_30677_Fig6_HTML.jpg |
0.395469 | 3646d01ee033469aa1bc69ad3224337c | CI, confidence interval; HRQoL, health-related quality of life; MI, myocardial infarction; OR, odds ratio; SMD, standardized mean difference; β, regression coefficient. | PMC10023828 | oead018_ga1.jpg |
0.440846 | 7a15ddd648e342aab0470f0eb16bd23f | Perivascular FAI analysis of the RCA, LAD and LCX. A Colour map indicating CT results—red indicates a higher CT number, and yellow indicates a lower CT number. B. FAI analysis. Histograms of voxel CT attenuations within the volume of interest. The median CT attenuation range was: − 190 to − 30 HU. FAI, fat attenuation index; RCA, right coronary artery; LAD, left anterior descending artery; LCX, left circumflex artery; CT, computed tomography | PMC10024373 | 12872_2023_3177_Fig1_HTML.jpg |
0.433835 | c1e74397535b439a9eec7a0ded0b12a1 | SCAD lesion imaged at four levels in the LCX. The red lines A, B, C, D in the left panel correspond with the images in the right panel. We diagnosed an intramural haematoma with observed heterogeneity on IVUS. SCAD, spontaneous coronary artery dissection; LCX, left circumflex artery; IVUS, intravascular ultrasonography | PMC10024373 | 12872_2023_3177_Fig2_HTML.jpg |
0.439487 | f5ba3d0a1ed54c3eaf6f3bc3ad408897 | Karyotype demonstrating Trisomy 22. This karyotype results demonstrating complex chromosome abnormality, with abnormalities of four different chromosomes. Most notable is trisomy 22, but the infant also has an apparently balanced translocation involving the long arms of chromosomes 5 and 6, as well as a subtle inversion on the short arm of chromosome 7. The 2 Mb deletion on one of the copies of chromosome 22 was not visible by karyotype but was identified on chromosomal microrarray (not shown). Arrows indicate abnormal chromosomes | PMC10024442 | 12887_2023_3949_Fig1_HTML.jpg |
0.422028 | 6dc507582292452b812f1d1a68af8aa8 | Shared Decision Making Model. Shared Decision Making is a model through which clinicians collaborate with families to reach evidence-informed and value-congruent decisions regarding medical interventions. When multiple of the available choices are ethically equivalent and there exists uncertainty regarding outcomes, an emphasis is placed on value-congruent care and family participation in decision making. Preparatory meetings, both within the family unit and within the medical team, can help streamline decision making in this model as demonstrated above | PMC10024442 | 12887_2023_3949_Fig2_HTML.jpg |
0.454815 | b08c7d1b4c1b41ccb0337b1747562796 | Timeline of care | PMC10024442 | 12887_2023_3949_Fig3_HTML.jpg |
0.479841 | d88c9a04f3704a8ca0fd86bf6aea9385 | Effect of adsorbent dose on MG dye removal by (a) nano bentonite and (b) MgO impregnated clay. | PMC10024755 | 41598_2023_31391_Fig10_HTML.jpg |
0.436403 | 900616f2a7e0425c974db9965484f253 | Linear correlation between experimental and predicted removal efficiency % MG by (a) nano bentonite and (b) MgO impregnated clay. | PMC10024755 | 41598_2023_31391_Fig11_HTML.jpg |
0.432902 | 8db0362362234b9c8873212a697587d5 | 3D response surface plot of MG removal % through nano bentonite as a function of pH, temperature and adsorbent dosage. | PMC10024755 | 41598_2023_31391_Fig12_HTML.jpg |
0.453227 | 6438819848114d3982e926ee5b06a8a2 | 3D response surface plot of MG removal % through MgO impregnated clay as a function of pH, temperature and adsorbent dosage. | PMC10024755 | 41598_2023_31391_Fig13_HTML.jpg |
0.406878 | 850d1e3633ab47f68aa1402d3a3ecb22 | Pseudo-first order for the adsorption of MG onto (a) nano bentonite and (b) MgO impregnated clay. | PMC10024755 | 41598_2023_31391_Fig14_HTML.jpg |
0.437186 | 6d2727821c584ee5bde2921766cbacf3 | Pseudo-second order for the adsorption of MG onto (a) nano bentonite and (b) MgO impregnated clay. | PMC10024755 | 41598_2023_31391_Fig15_HTML.jpg |
0.428384 | ffc181a294d147448e40be2fab4bba11 | Thermodynamic for the adsorption of MG onto (a) nano bentonite and (b) MgO impregnated clay. | PMC10024755 | 41598_2023_31391_Fig16_HTML.jpg |
0.374505 | 055d5087a5d8481ebc2c5e9ae7aae7cc | Langmuir (a) nano bentonite and (b) MgO impregnated clay plots for adsorption of MG. | PMC10024755 | 41598_2023_31391_Fig17_HTML.jpg |
0.434236 | 7510e792e68c432d8bad8b7d7b50e0d8 | Freundlich (a) nano bentonite and (b) MgO impregnated clay plots for adsorption of MG. | PMC10024755 | 41598_2023_31391_Fig18_HTML.jpg |
0.437415 | 3d123bef912c48d8b8b3a8cd8055f7d1 | Temkin (a) nano bentonite and (b) MgO impregnated clay plots for adsorption of MG. | PMC10024755 | 41598_2023_31391_Fig19_HTML.jpg |
0.671141 | 6956b04fcf6148e0803c7cb6d61a0a01 | Molecular structure of Malachite green. | PMC10024755 | 41598_2023_31391_Fig1_HTML.jpg |
0.480566 | 6a66b479a2dc4967978884086ad88c67 | (a) The actual and predicted values for the decolourization of MG dye by immobilized Mucor sp., (b) normal % probability and (c) the Box–Cox plot. | PMC10024755 | 41598_2023_31391_Fig20_HTML.jpg |
0.429555 | 6ebd60c9c90746dbaabb09f15a1c6521 | (a) the cumulative impact of pH and contact time, (b) the cumulative impact of pH and MG dye concentration, (c) the cumulative impact of pH and temperature, (d) the cumulative impact of contact time and MG dye concentration, (e) the cumulative impact of contact time and temperature, (f) the cumulative impact of temperature and MG dye concentration. | PMC10024755 | 41598_2023_31391_Fig21_HTML.jpg |
0.455495 | 2c50a948d1d749f2982ef70b1019059c | Phylogenetic tree of the fungal isolate Mucor sp. | PMC10024755 | 41598_2023_31391_Fig2_HTML.jpg |
0.449393 | 34dd015559404dc9a873387875a8776a | (a) Nano bentonite and (b) MgO impregnated clay XRD chromatogram after adsorption. | PMC10024755 | 41598_2023_31391_Fig3_HTML.jpg |
0.477847 | e1b18149c3e34ebdb3c5668cba0c6d93 | FTIR Images of nano bentonite (a) and (b) MgO impregnated into clay after MG adsorption. | PMC10024755 | 41598_2023_31391_Fig4_HTML.jpg |
0.404828 | 77b606b35e5e48c39ec30b208cd7bc50 | TEM (a) nano bentonite, (b) MgO impregnated clay, and SEM images and Energy dispersive X-ray analysis (c) nano bentonite within EDX, (d) MgO impregnated clay within EDX (e) nano bentonite after adsorption MG, (f) MgO impregnated clay after adsorption MG and (g) after adsorption MG by fungi low and high magnification respectively. | PMC10024755 | 41598_2023_31391_Fig5a_HTML.jpg |
0.473051 | 7ede99ecae3e48758900f3463d06c6e5 | Effect of pH on MG dye removal by (a) nano bentonite and (b) MgO impregnated clay. | PMC10024755 | 41598_2023_31391_Fig6_HTML.jpg |
0.50921 | e82aac02280947b68530b27c17814800 | Effect of temperature on MG dye removal by (a) nano bentonite and (b) MgO impregnated clay. | PMC10024755 | 41598_2023_31391_Fig7_HTML.jpg |
0.622881 | b1d58c0bb5bd41be83dc4a7e0a22ea72 | Effect of contact time on MG dye removal by (a) nano bentonite and (b) MgO impregnated clay. | PMC10024755 | 41598_2023_31391_Fig8_HTML.jpg |
0.477967 | b12bd22064344193a1fe37f623ff5954 | Effect of initial MG dye concentration on MG dye removal by (a) nano bentonite and (b) MgO impregnated clay. | PMC10024755 | 41598_2023_31391_Fig9_HTML.jpg |
0.413546 | efa483bd610c41d7b46d61698b36a53e | (a) Schematic illustration of engineering the Hg2+ sensor for multi-stimulus recognition. (b) Fluorescence intensity analysis of the ON-state sensor (A/B) upon addition of different concentrations of Hg2+. [A/B] = 0.1 μM, [Hg2+] = 1 μM, 2 μM, 3 μM and 4 μM respectively. (c) Fluorescence intensity analysis of the ON-state sensor (A/B) and the OFF-state sensor (A/B/L) upon the addition of Hg2+. [A/B] = 0.1 μM, [A/B/L] = 0.1 μM, [Hg2+] = 4 μM. (d) (Left) the ‘YES’ logic gate and its corresponding truth table; (right) the fluorescence results of the experiment. [A/B/L] = 0.1 μM, [K] = 0.12 μM, [Hg2+] = 4 μM. ‘+’ denotes the addition of the component and ‘−’ denotes the absence of the component. | PMC10025943 | d3ra00295k-f1.jpg |
0.414403 | d811ca38f0e14ed1964ac142d3933714 | (a) Schematic illustration of the upstream ‘YES’ logic gate that output the key strand ‘K’. (b) The cascading ‘YES–YES’ logic gate and native PAGE analysis of the locked sensor (A/B/L) upon the addition of upstream ‘YES’ logic gate. (c) (Top) The truth table of the circuit; (bottom) the fluorescence analysis of the mixture of the complex (A/B/L) and (G1/K) upon addition of Hg2+ in the presence and absence of upstream input ‘I1’. ‘+’ denotes the addition of the components and ‘−’ denotes the absence of the components. [A/B/L] = 0.1 μM, [G1/K] = 0.4 μM, [I1] = 0.48 μM and [Hg2+] = 4 μM. | PMC10025943 | d3ra00295k-f2.jpg |
0.425663 | 75e6bc1c7b2b42019ee5effc86e5e32d | (a) Schematic illustration of the upstream ‘OR’ logic gate that output the key strand ‘K’. (b) Two-level cascading circuits ‘OR–YES’. (c) Native PAGE analysis of the components of ‘OR’ logic gate and the operation upon addition of inputs. Lane 1: strand ‘G2’, Lane 2: strand ‘K’, Lane 3: strand ‘I2’, Lane 4: strand ‘I3’, Lane 5: complex (G2/I2), Lane 6: complex (G2/I3), Lane 7: gate complex (G2/K), Lane 8: gate complex (G2/K) + I2, Lane 9: gate complex (G2/K) + I3, Lane 10: gate complex (G2/K) + I2 + I3. (d) Native PAGE analysis of the mixture of the complex (A/B/L) and (G2/K) upon addition of upstream input ‘I2’ and ‘I3’. Lane 1: gate complex (G2/K), Lane 2: (A/B/L), Lane 3: (A/B/L) + (G2/K), Lane 4: (A/B/L) + (G2/K) + I2, Lane 5: (A/B/L) + (G2/K) + I3, Lane 6: (A/B/L) + (G2/K) + I2 + I3. (e) (Top) the truth table of the cascading circuit; (bottom) the fluorescence analysis of the mixture of the complex (A/B/L) and (G2/K) upon addition of Hg2+ in the presence or absence of upstream inputs. ‘+’ denotes the addition of the components and ‘−’ denotes the absence of the components. [A/B/L] = 0.1 μM, [G2/K] = 0.4 μM, [I2] = 0.48 μM, [I3] = 0.48 μM, [Hg2+] = 4 μM. | PMC10025943 | d3ra00295k-f3.jpg |
0.474511 | 2271c9dbeb85433499ed5d0765267e7e | (a) Schematic illustration of the upstream ‘AND’ logic gate that output the key strand ‘K’. (b) (Left) The cascading ‘AND–YES’ logic gate and the corresponding truth table. (Right) The fluorescence intensity analysis of the mixture of the complex (A/B/L) and gate complex (G3/K/T) upon the addition of Hg2+ in the presence or absence of upstream inputs. ‘+’ denotes the addition of the components and ‘−’ denotes the absence of the components. [A/B/L] = 0.1 μM, [G3/K/T] = 0.4 μM, [I4] = 0.48 μM, [I5] = 0.48 μM, [Hg2+] = 4 μM. | PMC10025943 | d3ra00295k-f4.jpg |
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