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: Genes & Diseases

Article Title: In vivo multiplexed modeling reveals diverse roles of the TBX2 subfamily and Egr1 in Kr as -driven lung adenocarcinoma

doi: 10.1016/j.gendis.2025.101840

Figure Lengend Snippet: Impact of Egr1 knockout on in vitro lung cancer proliferation, in vivo T cell infiltration, and T cell exhaustion in the tumor microenvironment. (A) The immune network and top 12 hub genes are visualized. From the top 30 most significantly up-regulated pathway clusters, 18 immunity-related terms and their associated genes were selected for Maximal Clique Centrality analysis using the CytoHubba plugin in Cytoscape. Gene interactions within the network indicate their participation in shared pathways. The background color of each gene box represents its centrality ranking: four genes co-ranked 1st (red), five genes co-ranked 5th (orange), and three genes co-ranked 10th (yellow). The 16 pathways associated with these 12 hub genes were further consolidated into 8 primary categories, represented by blue rectangular boxes. (B) Analysis of the DepMap CRISPR–Cas9 cancer dataset, evaluating the effect of Egr1 knockout in 342 human cancer cell lines, including independent assessments in KRAS -driven lung cancer lines, showed no significant impact on cell proliferation in either case. (C) Immunohistochemical staining of Cd4, Cd8, Cd3, Cd19, and F4/80 in Egr1 -deficient lung tumors compared with control tumors. Scale bars are provided for each image. (D) The heatmap illustrates the expression patterns of 55 curated T-cell exhaustion markers (CellMarker 2.0 and 10X Genomics) in control and Egr1 -deficient tumors. Differential expression analysis reveals that most exhaustion markers are up-regulated in Egr1 -deficient samples. The color scale represents relative expression levels, ranging from red (high expression) to blue (low expression).

Article Snippet: Scale bars are provided for each image. (D) The heatmap illustrates the expression patterns of 55 curated T-cell exhaustion markers (CellMarker 2.0 and 10X Genomics) in control and Egr1 -deficient tumors.

Techniques: Knock-Out, In Vitro, In Vivo, CRISPR, Immunohistochemical staining, Staining, Control, Expressing, Quantitative Proteomics