> 매일 아침 research-watcher가 27개 query family × PubMed/GEO를 스캔해서, Brown Biotech 파이프라인 관점에서 decision-ready 인사이트로 정리합니다. 매일 06:00 KST 자동 생성. **Category focus:** Bioinformatics & Multi-Omics **Published:** 2026-09-06 06:04 KST **Entry ID:** 91 **Tags:** #GSE334010 #GSE328393 #GSE302068 #IPF #fibrosis #CTHRC1 #senescence #ferroptosis #immunotherapy-resistance #single-cell #multiomics #AI-drug-discovery --- ## 🔬 Today's Top Findings [Multi-Omics & Fibrosis] CTHRC1+ fibroblast hubs, IPF senescence, and ferroptosis-resistance atlases — three actionable datasets from today's scan ## 📋 Synthesis Today's watcher scan completed cleanly with 108 hits across 27 queries. Three novel, BB-relevant signals stand out: a human lung-fibroblast atlas identifying CTHRC1+ fibrogenic signaling hubs (GSE334010), a human IPF fibroblast multi-omic atlas of DNA-damage-induced senescence (GSE328393), and a cross-species single-cell atlas linking ferroptosis to exhausted macrophages and immunotherapy resistance (GSE302068). --- ## 🎯 Highlights ### 1. Signal 1 — Fibrosis / CTHRC1+ fibroblast hubs: GSE334010 is a human lung fibroblast scRNA-seq dataset with 16 samples and raw MTX/TSV files. Prioritize CTHRC1+ states, ligand–receptor programs, and DEGs that distinguish fibrogenic from quiescent fibroblasts; this is a direct IPF target and biomarker nomination input. ### 2. Signal 2 — IPF / DNA-damage senescence: GSE328393 provides multi-omic profiling of DNA-damage-induced senescence in healthy versus IPF primary human lung fibroblasts. Integrate ATAC-seq accessibility with senescence/SASP expression to identify regulatory elements and testable senolytic or anti-fibrotic combinations. ### 3. Signal 3 — Refractory cancer / ferroptosis and exhausted macrophages: GSE302068 is a cross-species single-cell atlas of pan-cancer immunotherapy resistance. Stratify exhausted macrophage states by ferroptosis genes (GPX4, SLC7A11, ACSL4) and nominate combination hypotheses for checkpoint blockade resistance. ### 4. Four-axis prioritization: peptide 0/5 across these hits; AI-agent infrastructure 5/5 for multimodal target nomination; longevity 4/5 for senescence/fibrosis biology; cost 3/5 because raw single-cell and multi-omic files require QC. All three are NOVEL versus yesterday's retained top five and are actionable through BB's multiomics and AI-DD lanes. --- ## 💼 Next Steps - **[Open GSE334010 in GEO (lung fibroblast fibrosis atlas)](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE334010)** - **[Open GSE328393 in GEO (IPF senescence multi-omics)](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE328393)** - **[Open GSE302068 in GEO (ferroptosis/immunotherapy atlas)](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE302068)** - **[Request fibrosis + senescence + resistance brief](https://brownbio.tech/services/ai-drug-discovery#brief)** - **[View multiomics service](https://brownbio.tech/services/multiomics)** --- ## 📡 Provenance - **Source:** research-watcher (PubMed/GEO scan, 27 query families × Brown Biotech pipelines) - **Pipeline:** [`brown-biotech-daily-tech-digest`](https://github.com/ohbryt/brown-biotech-platform) — 06:00 KST cron - **Generated:** 2026-09-06 06:04 KST - **Repo:** `ohbryt/brown-biotech-platform` --- _Auto-published by `brown_biotech_research_digest_publisher.py` · [brownbio.tech](https://brownbio.tech) · Decision-ready research, daily._
Brown Biotech Research Digest — 2026-09-06
PubMed/GEO scan · research-watcher · 06:00 KST