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Image Search Results
Journal: bioRxiv
Article Title: A genetically engineered vertebrate animal model of NAA15 -related heart disease uncovers myocardial growth, contractility, and mitochondrial defects
doi: 10.1101/2025.08.04.668548
Figure Lengend Snippet: (A,B) Single optical sections of hearts in 4 dpf wild-type (WT, left) or double knockout (DKO; right) zebrafish larvae carrying the myl7:nucGFP transgene processed for RNAScope in situ hybridization with naa15a (A) or naa15b (B) probes, immunostained for GFP, and counterstained with DAPI. The boxed regions (left) are shown enlarged (middle). N=25/25 embryos per group showed the same staining patterns. (C) Schematic diagram of the transgene ( Tg ) used to overexpress (OE) Naa15a in the myocardium (OE myo ). (F) Single optical section of the heart in a 4 dpf OE myo larvae carrying the myl7:nucGFP transgene processed for RNAScope in situ hybridization with the naa15a probe, immunostained for GFP, and counterstained for DAPI. The boxed region (left) is enlarged (right). N=25/25 embryos per group showed the same staining pattern. (E) Dot plot showing the percent fractional area changes (%FACs) of control-sibling (CTRL) animals not carrying (n=8) or carrying (n=13) the OE myo transgene and DKO animals not carrying (n=7) or carrying (n=16) the OE myo transgene. (F) Dot plot showing the %FACs for 4 dpf CTRL or DKO animals injected at the one-cell stage with mRNAs encoding mCherry, wild-type human NAA15, or the indicated variant containing human NAA15 isoforms. For (E,F), statistical significance was determined by a Kruskal-Wallis Test followed by a Dunn’s test for multiple comparisons. Means ± 1SD are shown. Scale bars=25 μm. V, ventricle; A, atrium; ns, significant.
Article Snippet: Lastly, based on the
Techniques: Double Knockout, RNAscope, In Situ Hybridization, Staining, Control, Injection, Variant Assay
Journal: bioRxiv
Article Title: A genetically engineered vertebrate animal model of NAA15 -related heart disease uncovers myocardial growth, contractility, and mitochondrial defects
doi: 10.1101/2025.08.04.668548
Figure Lengend Snippet: (A) Kaplan-Meier curve for wild-type (WT; n=60) and naa15 RD (specifically, naa15a +/- , naa15b -/- ) zebrafish (n=65). Statistical significance was determined by a Log rank (Mantel-Cox) test. (B) Brightfield images of WT and naa15 RD zebrafish at 9 months post-fertilization (mpf). The red lines show the posterior boundaries of the length measurements, excluding the fins. (C) Dot plots of length, weight, and body mass index (BMI) for WT (n=7) and naa15 RD (RD; n=14) zebrafish at 9 mpf. Statistical significance for body length was determined by a Mann-Whitney test. (D) Brightfield images of 9 mpf WT and naa15 RD hearts after dissection. Scale bars=300μm. (E) Dot plot of ventricular areas of 9 mpf WT (n=7) and naa15 RD (n=14) hearts calculated from brightfield images of dissected hearts, examples of which are shown in (D), normalized by BMI. Statistical significance was determined by a Mann-Whitney test. (F) Brightfield images of cardiac sections from WT (n=4 or more sections from each of 7 hearts) and naa15 RD (n=4 or more sections from each of 14 hearts) animals stained with acid fuchsin orange G (AFOG). No sections revealed evidence of fibrosis. Scale bars=250μm. (G) Confocal images of single cardiomyocytes from 9 mpf WT (left) and naa15 RD (middle) hearts immunostained for cardiac Troponin T (cTNT), counterstained with DAPI, and categorized as having organized or disarrayed sarcomeres, respectively. Boxed areas are shown at higher magnification (right). Scale bars=10μm. (H) Dot plot showing the percentages of CMs with disarrayed sarcomeres in 9 mpf WT (n=14) and naa15 RD (n=15) hearts (left). Eighty cardiomyocytes were examined per heart. Dot plot of dissociated CM cell areas from 9 mpf WT (n=14) and naa15 RD (m=15) hearts (right). Each data point is the average area of 5-10 CMs from one heart. (I) Pulsed wave Doppler ultrasounds of blood velocity at the bulboventricular junctions of 9 mpf WT and naa15 RD hearts. (J) Dot plots showing heart rates, stroke volumes, and cardiac output calculations of 9 mpf WT (n=7) and naa15 RD (n=12) hearts. Heart rates were obtained from Pulsed wave Doppler ultrasounds. Stroke volumes were obtained from B-mode ultrasound images of the ventricles from the same animals (Fig. S6). (K) Dot plot of the standard deviations (SD) of interbeat intervals (IBI) of 9 mpf WT (n=7) and naa15 RD (n=12) hearts. For all dot plots, unless otherwise stated, statistical significance was determined by Student’s t-tests. Means ± 1SD are shown. Abbr: V, Ventricle; A, Atrium; BA, bulbus arteriosus; HR, heart rate; BPM, beats per minute; V o PK , peak outflow blood velocity.
Article Snippet: Lastly, based on the
Techniques: MANN-WHITNEY, Dissection, Staining
Journal: Journal of Lipid Research
Article Title: Defective targeting of PNPLA1 to lipid droplets causes ichthyosis in ABHD5-syndromic epidermal differentiation disorder
doi: 10.1016/j.jlr.2025.100875
Figure Lengend Snippet: Disease-associated ABHD5 mutants show impaired binding affinities for PLIN2 and PLIN3. A: Reverse transcription PCR analysis of PLIN2 and PLIN3 mRNA expression in HEK293T cells and terminally differentiated human primary keratinocytes. B: Immunoblot analysis of Xpress-tagged human ABHD5 variants and β-galactosidase (β-Gal) in HEK293T cell lysates used for solid-phase interaction assays. Respective antibodies were used for detection. Coomassie Blue staining shows equal protein loading. C: Analysis of ABHD5 binding affinities for PLIN2 using solid-phase interaction assays. D: Analysis of ABHD5 binding affinities for PLIN3 using solid-phase interaction assays. Data are presented as means of triplicates + SD and are representative of three independent experiments. Statistically significant differences were determined by one-way ANOVA (∗, P < 0.05; ∗∗, P < 0.01; ∗∗∗, P < 0.001 compared to the negative control β-Gal and $, P < 0.05; $$, P < 0.01; $$$, P < 0.001 compared to wtABHD5).
Article Snippet: Based on this fact and consistent with data from The
Techniques: Binding Assay, Reverse Transcription, Expressing, Western Blot, Staining, Negative Control
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . Representative images of MC38-OVA (left) and tumour growth (right) in C57BL/6J mice ( n = 5). b . Representative images of CT26 tumours (left) and tumour growth (right) in BALB/c mice ( n = 5). c . Schematic diagram illustrating the working principle of ATS-GNP adipocytolysis. ATS-GNP, containing a CaCO 3 core, is receptor-mediated for endocytosis. Upon reaching the acidic environment, ATS-GNP releases CO 2 gas, disrupting the adipose cell membrane. d . Tumour growth of MC38 tumours in C57BL/6J, BALB/c-Nude (left), and NSG (right) mice ( n = 5). e . Representative images of E0771 tumours at day 16 of the experiment in C57BL/6J mice following removal of PAT ( n = 5). f . Tumour weights of E0771 tumours at day 16 in C57BL/6J mice with the removal of PAT ( n = 5). g . Representative flow cytometry plots of CD45 + cells gated on live cells in MC38-OVA tumours. h . Violin plots showing the expression of CXCR7 across all cell types in CRC patients, analysed using the Kruskal-Wallis test. i . Editing strategy for constructing Cxcl12 fl/fl cKO mouse. j . Experimental design for constructing Control and Cxcl12 fl/fl cKO mice bearing MC38-OVA tumours near PAT. k . Western blot analysis for verifying the knockout efficiency of Cxcl12 in PAT of Control mice and Cxcl12 fl/fl cKO mice. l . RT-qPCR analysis for verifying the Cxcl12 knockout efficiency in liver, spleen, uterus, and tumour tissues from Control mice and Cxcl12 fl/fl cKO mice ( n = 6). Data represent ≥ 3 independent experiments. P -values were calculated using two-way ANOVA with Tukey’s correction for multiple comparisons ( a -right, b -right, and d ), two-way ANOVA with Bonferroni’s correction for multiple comparisons ( f ), or a two-sided, unpaired Student’s t -test ( l ). Graphs display mean ± SD ( a , b , d , f , l ). Panels created with BioRender : c , i and j , Huaiqiang, J. https://biorender.com/cy7rgjm (2026).
Article Snippet: For drug treatment, a
Techniques: Membrane, Flow Cytometry, Expressing, Control, Western Blot, Knock-Out, Quantitative RT-PCR
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a , Cell–cell communication analysis based on ligand–receptor interactions (top six) between stromal cells and lymphocytes in tVAT (left) and a comparison between tVAT, dVAT and tumour (right). b , Marked CXCL12–CXCR4 interactions among CD8 + T cells, CD4 + T cells, B cells, plasma cells and stromal cell populations in tVAT, dVAT and tumour. The width of the lines represents the probability of communication. c , Violin plots showing the expression of CXCL12 (top) and CXCR4 (bottom) across all cell types in patients with CRC. d , Violin plots comparing the expression of CXCL12 in dVAT versus tVAT (top) and tumour versus tVAT (bottom) in patients with CRC, analysed using a two-sided Wilcoxon test. e , Experimental design for the PAT C57BL/6J mouse model treated with IgG or anti-CXCL12 antibody (left), and representative MC38 tumour images at day 16 of the experiment (right) ( n = 5). f , Tumour growth (left) and tumour weights (right) of MC38 tumours at day 16 of the experiment in C57BL/6J mice ( n = 5). g , Representative MC38 tumour images (left) and tumour growth (right) of experiments in control and Cxcl12 fl/fl cKO mice ( n = 6). h , Tumour weights of MC38 tumours in control and Cxcl12 fl/fl cKO mice at day 16 of the experiment ( n = 6). i , Flow cytometry analysis of the infiltration of various CXCR4 + immune cells in MC38 tumours in Control and Cxcl12 fl/fl cKO mice ( n = 6). j , Schematic diagram of the chemotaxis assay using T cells as ‘sensors’ and conditional medium as a ‘sink’ (left), and the aggregated trajectories of control or CXCL12-induced T cells migrating for 1 h (right). k , Quantitative analysis of CXCR4 + CD45.1 + T cells in MC38 tumours with and without removal of PAT or contralateral inguinal adipose tissue (control) by flow cytometry ( n = 5). Data represent ≥3 independent experiments. Statistical significance was assessed by a two-sided permutation test ( a ), two-sided unpaired Student’s t -test ( f right, h and i ), one-way analysis of variance (ANOVA) with Tukey’s correction for multiple comparisons ( k right) or two-way ANOVA ( f left and g right). Graphs display mean ± s.d. ( f – i , k ). Panels created with BioRender : e and k , Huaiqiang, J. https://biorender.com/ovq2e39 (2026).
Article Snippet: For drug treatment, a
Techniques: Comparison, Clinical Proteomics, Expressing, Control, Flow Cytometry, Chemotaxis Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . UMAP plot of VAT-associated stromal cells in tVAT and dVAT from CRC patients. The 8 clusters, labelled by inferred cell types, are denoted by colour. b . Dot plot showing RNA expression of marker genes used to define pAC, adCAF, and APC subclusters. Circle size represents the log-normalized P -value, while colour intensity indicates the log-transformed mean expression of marker genes. c . Sorting strategy for isolating adCAFs from mouse PAT by flow cytometry. d . RNA sequencing analysis of adCAF markers in sorted adCAF-enriched stromal cells and non-adCAF stromal cells ( n = 4). Statistical significance was assessed using a two-sided, unpaired Student’s t -test. e . RNA sequencing analysis of adipogenesis markers in sorted adCAF-enriched stromal cells and non-adCAF stromal cells ( n = 4). Statistical significance was assessed using a two-sided, unpaired Student’s t -test. f . Representative images of the morphology of sorted adCAF-enriched stromal cells and non-adCAF stromal cells. Scale bar = 500 μm. g . Cross-tissue interactions analysis based on ligand-receptor pairs between adCAFs and tumour cells (left) and a comparison between tVAT and dVAT (right). A two-sided permutation test was used to determine the significance of pathways. h . Western blot analysis of CXCL12 protein expression in sorted adCAF-enriched stromal cells and non-adCAF stromal cells ( n = 3). The data are presented as a box-and-whisker graph (bounds of box: first to third quartile, bottom and top line: minimum to maximum, central line: median) for ( d - e ).
Article Snippet: For drug treatment, a
Techniques: RNA Expression, Marker, Transformation Assay, Expressing, Flow Cytometry, RNA Sequencing, Comparison, Western Blot, Whisker Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a , UMAP of all stromal cells in tVAT, dVAT, tumour and normal from patients with CRC, with ten clusters labelled by inferred cell types. Major lineages included ASCs, pACs, CAFs, pericytes (PCs) and mesothelial cells (Mesos). b , Heatmap displaying the distribution of eight stromal cell subtypes across different tissue types. c , UMAP of eight subsets of VAT-associated stromal cells in tVAT and dVAT from patients with CRC, including ASCs, pACs and adCAFs. d , Beeswarm plot showing the distribution and abundance of VAT-associated stromal cell types in Nhoods between tVAT and dVAT. e , Stack plot displaying the abundance of the eight VAT-associated stromal cell subsets in dVAT and tVAT. f , Heatmap showing the RNA expression of various marker genes in VAT-associated stromal cell types, including ASC/pAC markers, CAF markers, cytokines and stromal markers. g , Representative multiplex immunofluorescence images showing the presence of adCAFs in tVAT samples from patients with CRC. Scale bar, 10 μm. DAPI, 4,6-diamidino-2-phenylindole. h , Relative expression levels of multiple cytokines and protumoural factors in adCAF-enriched stromal cells ( n = 4) and non-adCAF stromal cells ( n = 4) derived from the PAT of mice xenograft models. The data are presented as a box-and-whisker graph (bounds of box show first to third quartile, bottom and top line show minimum to maximum and the central line shows the median). i , Cell–cell communication analysis based on ligand–receptor pairs (top six) between adCAFs and lymphocytes in tVAT (left) and a comparison between tVAT and dVAT (right). j , RT–qPCR (left) and ELISA (right) detecting the RNA expression and protein secretion of CXCL12 in sorted adCAF-enriched stromal cells and non-adCAF stromal cells from PAT of mice. Data represent ≥3 independent experiments. All data are shown as mean ± s.d. and statistical significance was assessed by a two-sided, unpaired Wilcoxon test ( h ), two-sided permutation test ( i ) and Student’s t -test ( j ).
Article Snippet: For drug treatment, a
Techniques: RNA Expression, Marker, Multiplex Assay, Immunofluorescence, Expressing, Derivative Assay, Whisker Assay, Comparison, Quantitative RT-PCR, Enzyme-linked Immunosorbent Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . UMAP of all cells in tVAT and dVAT from 5 CRC patients, with 16 clusters labelled by inferred cell types. Major lineages included various immunocytes, VAT-associated stromal cells, adipocytes (ACs), endothelial cells (ECs), pericytes (PCs) and mesothelial cells (Mesos). b . Heatmap of representative marker genes across all cell populations. c . UMAP of 6 subsets of ACs in tVAT and dVAT from 5 CRC patients. d . Beeswarm plot showing the distribution and abundance of ACs in Nhoods between tVAT and dVAT. e . Box plot to compare the abundance of ACs in dVAT ( n = 5) and tVAT ( n = 5). P -values were calculated using a two-side Wilcoxon test. f . Cell-cell communication analysis based on ligand-receptor interactions (top 3) between CD8 + T cells and adipocytes, and between CD8 + T cells and VAT-associated stromal cells in tVAT. A two-sided permutation test was used to determine the significance of pathways. Only significant ligand-receptor pairs ( P < 0.05) are shown. Dot size encodes the interaction score, and colour scale indicates the communication probability. g . Violin plots showing the expression of CXCL12, VAT-associated markers, and CAF-associated markers in adipocytes and VAT-associated stromal cells from CRC patients. h . UMAP of 8 subsets of VAT-associated stromal cells in tVAT and dVAT from 5 CRC patients, including APCs, pACs and adipocyte-derived cancer-associated fibroasts (adCAFs). The 8 clusters, labelled by inferred cell types, are denoted by colour. i . Beeswarm plot showing the distribution and abundance of VAT-associated stromal cell types in Nhoods between tVAT ( n = 5) and dVAT ( n = 5). j . Box plot to compare the abundance of VAT-associated stromal cells in dVAT and tVAT. P -values were calculated using a two-side Wilcoxon test. k . Heatmap showing the RNA expression patterns of representative marker genes across all cell populations, including CAF markers, stromal markers, APC/pAC markers, white/brown/beige fat markers, and cytokines and growth markers. The data are presented as a box-and-whisker graph (bounds of box: first to third quartile, bottom and top line: minimum to maximum, central line: median) for ( e , j ).
Article Snippet: For drug treatment, a
Techniques: Marker, Expressing, Derivative Assay, RNA Expression, Whisker Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a , Experimental design for constructing Control and Mdk DTR cKO mice bearing MC38 tumours near PAT, followed by αPD-1 therapy. b , c , Representative MC38 tumour images ( b ), tumour weights ( c left) and tumour growth ( c right) in control and Mdk DTR cKO mice treated with IgG or anti-PD-1 ( n = 6). d , Flow cytometry analysis of the infiltration of immunocytes, including T cells, CD4 + T cells, CD8 + T cells, and tumour-specific CD8 + T cells, CXCR4 + immunocytes, CXCR4 + T cell, CXCR4 + CD4 + T cell, CXCR4 + CD8 + T cell and CXCR4 + tumour-specific T cell in MC38-OVA tumours from the four treatment groups ( n = 6). e , f , Representative MC38 tumour images ( e ) and tumour weights ( f ) of the experiment in mice treated with anti-CXCL12 and/or anti-PD-1 ( n = 5). g , Representative MRI image of CRC tumour and corresponding tVAT area region of CR and non-CR patients pre- and post-immuno-chemoradiotherapy. The yellow area represents the tVAT area, whereas the red area denotes the tumour region. Note that the mass visible in the intestinal lumen (top right) is faecal material. h , Pre-treatment tVAT area difference based on 3D Slicer between CR ( n = 30) and non-CR ( n = 37) patients. The data are presented as a box-and-whisker graph (bounds of box show first to third quartile, bottom and top line show minimum to maximum and the central line shows the median). i , ROC plot of response predicting ability of pre-treatment PAT area in immuno-chemoradiotherapy of proficient mismatch repair patients with CRC, compared with conventional indexes, including CPS, TPS, CEA and CA199 ( n = 67) with optimal cutoff. j , Comparison of pCR ratio in tVAT high and low group according to the optimal cutoff. k , Graphical abstract depicting how tumours reshape the stromal environment in tVAT and how tVAT competes for immunocytes from the tumour to promote immune escape. Data represent ≥3 independent experiments. Statistical significance was assessed using a two-sided, unpaired Student’s t -test ( d , h ), one-way ANOVA with Tukey’s correction for multiple comparisons ( c left, f ) or two-way ANOVA with Tukey’s correction for multiple comparisons ( c right). Graphs display mean ± s.d. ( c , d , f , h ). Panels created with BioRender : a and k , Huaiqiang, J. https://biorender.com/e5jwcye (2026).
Article Snippet: For drug treatment, a
Techniques: Control, Flow Cytometry, Whisker Assay, Comparison
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . Editing strategy for constructing Mdk DTR mouse. b . Flow cytometry representative plots and bar graphs for verifying the elimination efficiency of adCAFs (FAP + PDGFRB + MDK + stromal cells) in PAT of Control mice and Mdk DTR cKO mice. c . Experimental design for combination therapy with αCXCL12 and αPD-1 in mice bearing MC38-OVA tumours near PAT. d . MC38 tumour weights of the experiment in mice treated with αCXCL12 and/or αPD-1 ( n = 6). e . Flow cytometry analysis of the infiltration of immunocytes, including T cells, CD4 + T cells, CD8 + T cells, and tumour-specific CD8 + T cells in MC38-OVA tumours from the 4 treatment groups ( n = 6). f . Flow cytometry analysis of the infiltration of CXCR4 + immunocytes, including CXCR4 + T cell, CXCR4 + CD4 + T cell and CXCR4 + CD8 + T cell in MC38-OVA tumours from the 4 treatment groups ( n = 6). g . Boxplot of difference of tVAT area in CR and non-CR patients with T3 or T4 stage separately. The data are presented as a box-and-whisker graph (bounds of box: first to third quartile, bottom and top line: minimum to maximum, central line: median). h . ROC plot of prediction ability of tVAT area in patients with T3 or T4 stage separately. Data represent ≥ 3 independent experiments. P -values were calculated using a two-sided, unpaired Student’s t -test ( b , e - g ) and two-way ANOVA with Tukey’s correction for multiple comparisons ( d ). Graphs display mean ± SD ( b , d , e - g ). Panels created with BioRender : a and c , Huaiqiang, J. https://biorender.com/33r2gmm (2026).
Article Snippet: For drug treatment, a
Techniques: Flow Cytometry, Control, Whisker Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . Experimental design for combination therapy with AMD3100 and αPD-1 in mice bearing MC38-OVA tumours near subcutaneous PAT. b . Representative MC38 tumour images of the mice treated with AMD3100 and/or αPD-1 ( n = 5). c . Representative MC38 tumour weights of the mice treated with AMD3100 and/or αPD-1 ( n = 5). d . Representative MC38 tumour growth of the mice treated with AMD3100 and/or αPD-1 ( n = 5). e . Representative MC38 tumour images in MC38-OVA caecal orthotopic tumour-bearing mice treated with AMD3100 and/or αPD-1 ( n = 5). f . Representative MC38 tumour weights in MC38-OVA caecal orthotopic tumour-bearing mice treated with AMD3100 and/or αPD-1 ( n = 5). g . Representative MC38 Bioluminescence Images in MC38-OVA caecal orthotopic tumour-bearing mice treated with AMD3100 and/or αPD-1 ( n = 5). h . Representative MC38 tumour images in MC38-OVA caecal orthotopic tumour-bearing mice treated with αCXCL12 and/or αPD-1 ( n = 5). i . Representative MC38 tumour weights in MC38-OVA caecal orthotopic tumour-bearing mice treated with αCXCL12 and/or αPD-1 ( n = 5). j . Representative MC38 Bioluminescence Images in MC38-OVA caecal orthotopic tumour-bearing mice treated with αCXCL12 and/or αPD-1 ( n = 5). k . Flow cytometry analysis of the infiltration of immunocytes, including T cells, CD4 + T cells, CD8 + T cells, and tumour-specific CD8 + T cells in MC38-OVA tumours from 4 treatment groups ( n = 5). l . Flow cytometry analysis of the infiltration of CXCR4 + immunocytes, including CXCR4 + T cell, CXCR4 + CD4 + T cell and CXCR4 + CD8 + T cell in MC38-OVA tumours from 4 treatment groups ( n = 5). Data represent ≥ 3 independent experiments. P -values were calculated using a two-sided, unpaired Student’s t -test ( c , f , i , k , l ) and two-way ANOVA with Tukey’s correction for multiple comparisons ( d ). Graphs display mean ± SD ( c - d , f , i , k - l ). Panel created with BioRender : a , Huaiqiang, J. https://biorender.com/wbcolts (2026).
Article Snippet: For drug treatment, a
Techniques: Flow Cytometry