Journal: Stem Cell Research & Therapy

Article Title: Activation of the G-protein coupled estrogen receptor 1 (GPER1) reduces transient receptor potential vanilloid 1 (TRPV1) activity and human iPSC-derived nociceptive neuron firing

doi: 10.1186/s13287-026-05174-3

Figure Lengend Snippet: Reprogramming of adult human dermal fibroblasts (HDFa) into induced pluripotent stem cell (iPSC) line BO-VC1. Reprogramming was performed using the Epi5 ™ Episomal iPSC Reprogramming Kit, enabling the generation of ( A ) transgene- and virus-free iPSC line BO-VC1. Successful generation of fibroblast-derived iPSCs was validated by immunocytochemical staining for the pluripotency markers ( B ) SOX2, C TRA 1–60, D OCT4, SSEA4 and E NANOG. Quantification of the generated iPSCs via flow cytometry revealed F 99.31% SSEA4/TRA1-60, G 97.43% SOX2/TRA1-60 and H 98.60% OCT3/4/TRA1-60 positive cells. I Quantification of the transcript levels of the stem cell markers NANOG , OCT4 , REX1 and SOX2 revealed significantly higher mRNA levels in iPSC line BO-VC1 compared to the HDFa control ( n = 3 different passages) Moreover, generated iPSCs were functionally validated by directed differentiation into all three germ layers. Subsequent immunocytochemical staining of the iPSCs before and after differentiation confirmed the expression of ( J–M ) meso-, N–Q endo- and R–U ectodermal lineage markers only in the respective differentiations. Scale bars: 50 μm. Data were tested for normal distribution using Shapiro-Wilk test. Means ± SEM (standard error of the mean) were statistically analyzed by a Kruskal-Wallis test with Dunn’s multiple comparisons test. n = 3 (* p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001)

Article Snippet: After harvesting, using Accutase, 1 × 10 6 cells were stained for the surface stem cell marker TRA1-60 (1:50, #130-122-965, Miltenyi Biotec, Bergisch Gladbach, Germany) and SSEA4 (1:50, #130-124-073, Miltenyi Biotec, Bergisch Gladbach, Germany) in 25 μl PEB buffer (PBS + 0.5% BSA) for 10 min at 4 °C, washed in 500 μl PEB buffer and centrifuged at 200xg for 5 min.

Techniques: Virus, Derivative Assay, Staining, Generated, Flow Cytometry, Control, Expressing

Journal: Journal of Cancer Research and Clinical Oncology

Article Title: KLRG1 defines a distinct tumor-infiltrating granzyme K+ CD8 + T cell population

doi: 10.1007/s00432-026-06450-8

Figure Lengend Snippet: Cell surface marker identification. a Sankey diagram of workflow illustrating methods used to identify TIL compartment specific cell surface markers. Sensitivity and Specificity based analysis of putative cell surface markers across the TIL compartments using b Stem-Like, c Dysfunctional Effectors, or d GZMK+ Effectors as the group of interest. e 2D density plots demonstrating GZMK and GZMB in the compartments of interest. f Expression KLRG1 , ENTPD1 , and CD55 compared to all other compartments

Article Snippet: We first identified all differentially expressed genes specific to each compartment, then cross-referenced these with a curated cell surface marker database (Bausch-Fluck et al. ), yielding 175 potential candidates across the three populations of interest (Fig. A).

Techniques: Marker, Expressing

Journal: Journal of Cancer Research and Clinical Oncology

Article Title: KLRG1 defines a distinct tumor-infiltrating granzyme K+ CD8 + T cell population

doi: 10.1007/s00432-026-06450-8

Figure Lengend Snippet: Surface marker validation a General flow gating strategy to identify CD3 + CD8+ TIL population from tumor suspensions and subsequent b surface and granzyme staining of each major TIL compartment in a representative patient sample. c Cell type proportion based on cell surface marker staining. d Median Fluorescence Intensity (MFI) of CD55 between granzyme negative cells vs. granzyme positive cells. e MFI of CD39 between GZMB- and GZMB+ cells. f MFI of KLRG1 between GZMK- and GZMK+ cells. g Fold enrichment of granzyme specific cell types following gating, with CD55 + cells enriching for granzyme negative cells, CD39 enriching for GZMB+ cells, and KLRG1 enriching for GZMK+ cells. h Scatter plot demonstrating correlation between original cell surface marker defined proportion of each cell type and the fold enrichment for the phenotypic cell type

Article Snippet: We first identified all differentially expressed genes specific to each compartment, then cross-referenced these with a curated cell surface marker database (Bausch-Fluck et al. ), yielding 175 potential candidates across the three populations of interest (Fig. A).

Techniques: Marker, Biomarker Discovery, Staining, Fluorescence