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Mapping the Dialogue: Decoding Alveolar Stem-Niche Interactions [I]

GSE307112 Mus musculus; Homo sapiens Expression profiling by high throughput sequencing 886 samples Submitted 2026/06/29 Platform GPL35012
Summary
Cellular atlases reveal diverse cellular phenotypes, but how cells traverse this phenotypic landscape to impact tissues requires systematic study. We present an alveolosphere screening platform for investigating interactions between lung epithelial stem cells and their fibroblast niche. We assessed the role of 201 candidate genes in stem cells via imaging, then used RNAseq analysis for a transcriptome-wide understanding of cell-autonomous effects on stem cells and non-cell-autonomous effects on the niche. This phenome-transcriptome map uncovered new cellular states and pathways regulating stem cell growth, metabolism, and immune signaling. Notably, stem cells influenced scar-forming and immune programs in fibroblasts. This injury response was dependent on stem cell identity; loss of Nkx2.1, the transcription factor conferring lung epithelial identity, disrupted stem cell-niche interactions and had a greater non-cell-autonomous effect than eliminating the cancer genes Trp53, Egfr, or Cdkn2b. Our study highlights how functional atlases complement the cellular diversity revealed by descriptive methods.
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Direct links to NCBI, no account and no request form: the whole study as GSE307112_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 886 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1314575 and SRA study SRP616810. Searching any of these in the dataset finder brings you back here.

Study design
40 conditions, each sampled once — no replicated groups

Read from the first 40 of 886 sample titles: 40 distinct titles with little repetition. Check it against the sample list below before relying on it.

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