Journal: bioRxiv

Article Title: Impact of innate immune activation on T cell dynamics and functional recovery following traumatic brain injury

doi: 10.64898/2026.03.23.713833

Figure Lengend Snippet: (A) Experimental design. (B-D) Relative fold-change hippocampal gene expression of Cxcl1, Ccl2, Il1b . (E) Representative flow cytometry plots for Ly6C + monocytes, Ly6G + neutrophils and CD11c + dendritic cells. (F) Back-gating strategy to identify IL-1β-producing innate immune cells. (G-K) Bar graphs illustrate the absolute numbers of Ly6G + neutrophils (G), Ly6C + monocytes (H), CD11c + dendritic cells (I), IL-1β-producing neutrophils (J), IL-1β-producing monocytes (K). Data = Mean ± SEM (n=3-4 per time point); differences vs. Sham *p<0.05, **p<0.01, ***p<0.001; differences vs. 3hpi $ p<0.05, $$ p<0.01, $$$ p<0.001; differences vs. 6hpi # p<0.05, ## p<0.01, ### p<0.001; differences vs. 12hpi § p<0.05, §§ p<0.01, §§§ p<0.001 by one-way ANOVA with Tukey’s multiple comparisons test. Abbreviations: Hp, hippocampus.

Article Snippet: All flow cytometric data were acquired using Cytek Aurora Spectral flow cytometry with SpectroFlo software.

Techniques: Gene Expression, Flow Cytometry

Journal: bioRxiv

Article Title: Impact of innate immune activation on T cell dynamics and functional recovery following traumatic brain injury

doi: 10.64898/2026.03.23.713833

Figure Lengend Snippet: (A) Experimental design. (B-D) Relative fold-change expression levels of Cxcl10, Icam1, Itgb2 . (E) Flow cytometry plots of CD4 + , CD8 + , γδ + , and NK + T cells. (F) Representative flow cytometry plots for IL-17 and IFN-γ production by different T cell subsets. (G-O) Bar graphs illustrate the absolute numbers of CD4+ T cells (G), CD8+ T cells (H), NK + T cells (I), γδ + T cells (J), IFN-γ-producing CD4 + T cells (K), IFN-γ-producing CD8 + T cells (L), IFN-γ-producing NK + T cells (M), IL-17-producing γδ + T cells (N), and IFN-γ-producing γδ + T cells (O). Data = Mean ± SEM (n=6 per time point); differences vs. Sham *p<0.05, **p<0.01, ***p<0.001; differences vs. 1dpi $ p<0.05, $$ p<0.01, $$$ p<0.001; differences vs. 3dpi # p<0.05, ## p<0.01, ### p<0.001; differences vs. 10dpi § p<0.05, §§ p<0.01, §§§ p<0.001 by one-way ANOVA with Tukey’s multiple comparisons. Abbreviations: Hp, hippocampus.

Article Snippet: All flow cytometric data were acquired using Cytek Aurora Spectral flow cytometry with SpectroFlo software.

Techniques: Expressing, Flow Cytometry

Journal: Cell Reports Methods

Article Title: Application of spectral flow cytometry for comprehensive detection of immune metabolism in patient-derived microsamples

doi: 10.1016/j.crmeth.2026.101330

Figure Lengend Snippet: Assessing spectral resolvability of metabolic probes for multiparametric cytometry (A) Experimental workflow for evaluating probe co-detection. (B and D) Representative density plots demonstrating spectral overlap for pairwise probe combinations within the (B) FITC and (D) PE channel. (C and E) Complementary validation matrices showing computational spectral similarity scores from FluoroFinder (lower left quadrant) versus empirical resolvability determined by unmixing (upper right quadrant). Gray indicates non-resolvable pairs; colored tiles indicate resolvable pairs (C, green; E, red).

Article Snippet: Cells were washed and then acquired by full spectrum flow cytometry (SONY ID7000).

Techniques: Cytometry, Biomarker Discovery

Journal: Cell Reports Methods

Article Title: Application of spectral flow cytometry for comprehensive detection of immune metabolism in patient-derived microsamples

doi: 10.1016/j.crmeth.2026.101330

Figure Lengend Snippet: Validation framework for spectral co-resolvability of metabolic probes and fluorophore conjugates (A) Experimental workflow for co-detection assessment. (B, D, and F) Representative flow cytometry density plots demonstrating pairwise mixing between metabolic probes and fluorophores in the (B) FITC/AF488, (D) PE, and (F) APC/AF647 channel. (C, E, and G) Validation matrices per channel: upper, computational spectral similarity by FluoroFinder; lower, empirically determined resolvability. Gray tiles indicate non-resolvable pairs; colored tiles confirm resolvable pairs. (C) FITC/AF488, green; (E) PE, red; and (G) APC/AF647, blue.

Article Snippet: Cells were washed and then acquired by full spectrum flow cytometry (SONY ID7000).

Techniques: Biomarker Discovery, Flow Cytometry

Journal: Cell Reports Methods

Article Title: Application of spectral flow cytometry for comprehensive detection of immune metabolism in patient-derived microsamples

doi: 10.1016/j.crmeth.2026.101330

Figure Lengend Snippet: Validation of three metabolic probes for simultaneous assessment of mitochondrial activity and oxidative stress (A) Representative flow cytometry density plots demonstrating spectral resolution of co-stained probes. (B) Validation matrix: lower left quadrant, computational spectral similarity by FluoroFinder; upper right quadrant, empirical resolvability determination (red: resolvable pairs). (C) Mean fluorescence intensity (MFI; mean ± SD) of individual probes in control versus rotenone/antimycin A (Rot/AA)-treated groups ( n = 6). (D) Correlation analysis of MFI between single-stain and multiplexed conditions across probes (Spearman’s r). (E) MFI of probes (mean ± SD) in control versus EZH2-knockdown (EZH2-sh) groups under single and multiplexed staining. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001.

Article Snippet: Cells were washed and then acquired by full spectrum flow cytometry (SONY ID7000).

Techniques: Biomarker Discovery, Activity Assay, Flow Cytometry, Staining, Fluorescence, Control, Knockdown