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Resource: Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise
- Aliza B. Rubenstein,
- Gregory R. Smith,
- Zidong Zhang,
- Xi Chen,
- Toby L. Chambers,
- Frederique Ruf-Zamojski,
- Natalia Mendelev,
- Wan Sze Cheng,
- Michel Zamojski,
- Mary Anne S. Amper,
- Venugopalan D. Nair,
- Andrew R. Marderstein,
- Stephen B. Montgomery,
- Olga G. Troyanskaya,
- Elena Zaslavsky,
- Todd Trappe,
- Scott Trappe,
- and Stuart C. Sealfon
Genome Res. July 2025 35: 1664-1677; Published in Advance May 20, 2025, doi:10.1101/gr.280051.124
...)-expressing fibro-adipogenic progenitor cells. Single-cell regulatory circuit triad reconstruction (transcription factor, chromatin interaction site, regulated gene) also identifies largely distinct gene regulatory circuits modulated by exercise in the three muscle fiber types and LUM-expressing fibro...
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Method: Recovering gene regulatory networks in single-cell multi-omics data with PRISM-GRN
- Wenhao Zhang,
- Lan Cao,
- Xiaoxuan Gu,
- Yongyu Long,
- and Ying Wang
Genome Res. January 2026 36: 142-158; Published in Advance October 9, 2025, doi:10.1101/gr.280757.125
...and target genes (Gao et al. 2023).Single-cell RNA sequencing (scRNA-seq) enables gene expression profiling at the individual cell level, revealing cellular heterogeneity with single-cell resolution and significantly enhancing the understanding of cell type–specific gene regulation (Chen and Liu 2022; Kartha...
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Research: Single-cell discovery of m⁶A RNA modifications in the hippocampus
- Shuangshuang Feng,
- Maitena Tellaetxe-Abete,
- Yujie Zhang,
- Yan Peng,
- Han Zhou,
- Mingjie Dong,
- Erika Larrea,
- Liang Xue,
- Li Zhang,
- and Magdalena J. Koziol
Genome Res. June 2024 34: 822-836; Published in Advance July 15, 2024, doi:10.1101/gr.278424.123
.... It is particularly important in the hippocampus, where m6A is implicated in neurogenesis and learning. Although extensively studied, its presence in specific cell types remains poorly understood. We investigated m6A in the hippocampus at a single-cell resolution, revealing a comprehensive landscape of m6A...
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Method: Deciphering context-specific gene programs from single-cell and spatial transcriptomics data with DeCEP
- Lin Li,
- Xianbin Su,
- and Ze-Guang Han
Genome Res. October 2025 35: 2300-2315; Published in Advance August 21, 2025, doi:10.1101/gr.279689.124
.... Recent advancements in single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) technologies have empowered the comprehensive characterization of gene programs at both single-cell and spatial resolutions. Here, we present DeCEP, a computational framework designed to characterize context...
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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
..., Illinois 60607, USA; 3Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA Corresponding author: zivbj@cs.cmu.eduAbstractRecent efforts to generate atlas-scale single-cell data provide opportunities for joint analysis across tissues...
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Research: Single-cell analysis reveals transcriptional dynamics in healthy primary parathyroid tissue
- Aarthi Venkat,
- Maximillian J. Carlino,
- Betty R. Lawton,
- Manju L. Prasad,
- Matthew Amodio,
- Courtney E. Gibson,
- Caroline J. Zeiss,
- Scott E. Youlten,
- Smita Krishnaswamy,
- and Diane S. Krause
Genome Res. June 2024 34: 837-850; Published in Advance July 8, 2024, doi:10.1101/gr.278215.123
....krishnaswamy@yale.eduAbstractStudies on human parathyroids are generally limited to hyperfunctioning glands owing to the difficulty in obtaining normal human tissue. We therefore obtained non-human primate (NHP) parathyroids to provide a suitable alternative for sequencing that would bear a close semblance to human organs. Single-cell RNA...
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Method: TFcomb identifies transcription factor combinations for cellular reprogramming based on single-cell multiomics data
- Chen Li,
- Sijie Chen,
- Yixin Chen,
- Haiyang Bian,
- Minsheng Hao,
- Lei Wei,
- and Xuegong Zhang
Genome Res. June 2025 35: 1429-1439; Published in Advance April 10, 2025, doi:10.1101/gr.279955.124
...reprogramming TF identification, current methods often fail to put the real effective reprogramming TFs at the top. To address these challenges, we developed TFcomb, a computational method that leverages single-cell multiomics data to identify reprogramming TFs and TF combinations. We modeled the task...
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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
...of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh; 4Department of Integrative Physiology, Baylor College of Medicine, Houston, Texas 77030, USA Corresponding authors: msrahman@cse.buet.ac.bd, samee@bcm.eduAbstractThe surge in single-cell data sets...
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Method: A deconvolution framework that uses single-cell sequencing plus a small benchmark data set for accurate analysis of cell type ratios in complex tissue samples
- Shuai Guo,
- Xiaoqian Liu,
- Xuesen Cheng,
- Yujie Jiang,
- Shuangxi Ji,
- Qingnan Liang,
- Andrew Koval,
- Yumei Li,
- Leah A. Owen,
- Ivana K. Kim,
- Ana Aparicio,
- Sanghoon Lee,
- Anil K. Sood,
- Scott Kopetz,
- John Paul Shen,
- John N. Weinstein,
- Margaret M. DeAngelis,
- Rui Chen,
- and Wenyi Wang
Genome Res. January 2025 35: 147-161; Published in Advance November 25, 2024, doi:10.1101/gr.278822.123
...preparation and sequencing were performed following the manufacturer's protocols (https://www.10xgenomics.com). A single-nucleus suspension was loaded on a chromium controller to obtain a single-cell GEMS (gel beads-in-emulsions) for the reaction. The snRNA-seq library was prepared with chromium single-cell 3...
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Method: De novo detection of somatic variants in high-quality long-read single-cell RNA sequencing data
- Arthur Dondi,
- Nico Borgsmüller,
- Pedro F. Ferreira,
- Brian J. Haas,
- Francis Jacob,
- Viola Heinzelmann-Schwarz,
- Tumor Profiler Consortium,
- and Niko Beerenwinkel
Genome Res. April 2025 35: 900-913; Published in Advance March 19, 2025, doi:10.1101/gr.279281.124
....beerenwinkel@bsse.ethz.chAbstractIn cancer, genetic and transcriptomic variations generate clonal heterogeneity, leading to treatment resistance. Long-read single-cell RNA sequencing (LR scRNA-seq) has the potential to detect genetic and transcriptomic variations simultaneously. Here, we present LongSom, a computational workflow leveraging...
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