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Resource: Cell type–specific gene regulatory atlas prioritizes drug targets and repurposable medicines in Alzheimer's disease
- Yunxiao Ren,
- Ming Hu,
- Yang E. Li,
- Andrew A. Pieper,
- Jeffrey Cummings,
- and Feixiong Cheng
Genome Res. March 2026 36: 645-659; Published in Advance January 21, 2026, doi:10.1101/gr.280436.125
...Cell type–specific gene regulatory atlas prioritizes drug targets and repurposable medicines in Alzheimer's disease Yunxiao Ren1,2, Ming Hu3,4, Yang E. Li5, Andrew A. Pieper6,7,8,9,10,11, Jeffrey Cummings12 and Feixiong Cheng1,2,4,13 1Cleveland Clinic Genome Center, Cleveland Clinic Research...
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Method: Robust and efficient annotation of cell states through gene signature scoring
- Laure Ciernik,
- Agnieszka Kraft,
- Florian Barkmann,
- Josephine Yates,
- and Valentina Boeva
Genome Res. March 2026 36: 630-644; Published in Advance February 18, 2026, doi:10.1101/gr.280926.125
...when corresponding single-cell data are not available. To verify the applicability of our devised signature in bulk tumors, we used RNA-seq from The Cancer Genome Atlas (TCGA) data sets and scored both our cancer-cell EMT and hallmark EMT signatures.Scores of the ANS-derived signature showed higher...
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Review: A systematic guide for identifying transcription factors that directly regulate the expression of a gene of interest
- Andrew D. Bates,
- Dawid Grzela,
- Maciej Studzian,
- Louise Brennan,
- Moli Williams,
- Conor Fawcett,
- Beth Hammond,
- Manreen Grewal,
- Marcin Ratajewski,
- Lukasz Pulaski,
- and Urszula L. McClurg
Genome Res. March 2026 36: 433-459; Published in Advance February 17, 2026, doi:10.1101/gr.281154.125
.... More specialized tools for this approach include the Peak Browser at ChIP Atlas (Oki et al. 2018) or browsing ChIPBase (Huang et al. 2023), which is especially strong for ncRNAs but can also be used for mRNA genes. The Eukaryotic Promoter Database ExPASy has the useful Mass Genome Annotation Archive...
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Method: Gene duplication is associated with gene diversification and potential neofunctionalization in lung cancer evolution
- Paul Ashford,
- Alexander M. Frankell,
- Zofia Piszka,
- Camilla S.M. Pang,
- Mahnaz Abbasian,
- Maise Al Bakir,
- Mariam Jamal-Hanjani,
- Nicholas McGranahan,
- Charles Swanton,
- and Christine A. Orengo
Genome Res. March 2026 36: 561-577; Published in Advance February 19, 2026, doi:10.1101/gr.278663.123
...and mutations using data sets from tumor sequencing projects, such as The Cancer Genome Atlas (TCGA) (Hutter and Zenklusen 2018; The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium 2020). These tools employ a variety of approaches, including analysis of mutations using gene sequences, protein...
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Method: Early feature extraction drives model performance in high-resolution chromatin accessibility prediction
- Aayush Grover,
- Till Muser,
- Liine Kasak,
- Lin Zhang,
- Ekaterina Krymova,
- and Valentina Boeva
Genome Res. March 2026 36: 619-629; Published in Advance January 12, 2026, doi:10.1101/gr.281042.125
....211733). These cell lines consist of healthy and cancer cells, thereby creating a diverse data set.To further diversify our validation data sets, we used ATAC-seq data of two COAD and two KIRP tumors from The Cancer Genome Atlas (TCGA) (Corces et al. 2018). These data sets have been made available...
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Method: A spectral component approach leveraging identity-by-descent graphs to address recent population structure in genomic analysis
- Ruhollah Shemirani,
- Gillian M. Belbin,
- Sinead Cullina,
- Christa Caggiano,
- Christopher R. Gignoux,
- Noah Zaitlen,
- and Eimear E. Kenny
Genome Res. March 2026 36: 534-546; Published in Advance December 23, 2025, doi:10.1101/gr.280659.125
...Ruhollah Shemirani1, Gillian M. Belbin1,9, Sinead Cullina1,2, Christa Caggiano1, Christopher R. Gignoux3,4, Noah Zaitlen5,6,7 and Eimear E. Kenny1,2,8 1Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA; 2Department of Genetics and Genomic Sciences...
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Method: A unified analysis of atlas single-cell data
- Hao Chen,
- Nam D. Nguyen,
- Matthew Ruffalo,
- and Ziv Bar-Joseph
Genome Res. May 2025 35: 1219-1233; Published in Advance February 18, 2025, doi:10.1101/gr.279631.124
....To further explore the different gene–gene relationships profiled in the HuBMAP (adult human) and human fetal atlases, for each tissue that is common between the two atlases, we identified unique gene modules in the gene-embedding components of each atlas (Supplemental Note 11). Notably, we observed...
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Research: Transcription and potential functions of a novel XIST isoform in male peripheral glia
- Kevin S. O'Leary,
- Meng-Yen Li,
- Kevyn Jackson,
- Lijie Shi,
- Elena Ezhkova,
- Bernice E. Morrow,
- and Deyou Zheng
Genome Res. February 2026 36: 257-274; Published in Advance December 12, 2025, doi:10.1101/gr.280832.125
...that the previously annotated “neural” cells were glia, in agreement with the authors of the Heart Cell Atlas (Kanemaru et al. 2023). Our analysis showed that male glia expressed XIST robustly (Fig. 1A–C). To study if this is specific to the heart, we then obtained human skeletal muscle scRNA-seq data for fibroblasts...
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Method: Quantifying pathological progression from single-cell transcriptomic data with scPSS
- Samin Rahman Khan,
- M Saifur Rahman,
- M. Sohel Rahman,
- and Md Abul Hassan Samee
Genome Res. February 2026 36: 375-386; Published in Advance January 14, 2026, doi:10.1101/gr.280411.125
...and reference atlases has enabled the comparison of cell states across conditions, yet a gap persists in quantifying pathological shifts from healthy cell states. To address this gap, we introduce single-cell Pathological Shift Scoring (scPSS), which provides a statistical measure for how much a “query” cell...
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Method: scSHEFT enables multiomics label transfer from scRNA-seq to scATAC-seq through dual alignment
- Zhitao Huang,
- Ruiqing Zheng,
- Pengzhen Jia,
- Xuhua Yan,
- Jinmiao Chen,
- and Min Li
Genome Res. February 2026 36: 387-396; Published in Advance January 20, 2026, doi:10.1101/gr.280410.125
...RNA-seq and scATAC-seq data and learning cross-modality relationship simultaneously. Genome Biol 23: 139. doi:10.1186/s13059-022-02706-x ↵Zhao J, Wang G, Ming J, Lin Z, Wang Y, Wu AR, Yang C. 2022. Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets. Nat Comput...

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