Searching journal content for articles similar to Zhang et al. 36 (1): 142.

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Method: High-fidelity bidirectional translation between single-cell transcriptomes and DNA methylomes with scBOND
- Kehan Lang,
- Chenyang Jia,
- Siyu Li,
- Yi Guo,
- Dingjun Hu,
- and Shengquan Chen
Genome Res. March 26, 2026 ; Published in Advance March 26, 2026, doi:10.1101/gr.281350.125
...as a fundamental technique for characterizing the functional state of individual cells. Complementary to scRNAseq, single-cell DNA methylation (scDNAm) sequencing provides -wide maps of epigenetic modifications at single-cell resolution, offering insights into the regulatory mechanisms underlying gene expression...
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Method: Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies
- Jianing Yao,
- Jinglun Yu,
- Brian Caffo,
- Stephanie C. Page,
- Keri Martinowich,
- and Stephanie C. Hicks
Genome Res. July 2025 35: 1621-1632; Published in Advance May 20, 2025, doi:10.1101/gr.279380.124
...; Maniatis et al. 2019; Chen et al. 2020; Ji et al. 2020). Examples of these types of multi-omics technologies include measuring RNA and protein (DBiT-seq [Liu et al. 2020] or the 10x Genomics Visium Spatial Proteogenomics [SPG] [https://www.10xgenomics.com/products/spatial-gene...
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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: Scalable cell-specific coexpression networks for granular regulatory pattern discovery with NeighbourNet
- Yidi Deng,
- Jiadong Mao,
- Jarny Choi,
- and Kim-Anh Lê Cao
Genome Res. March 5, 2026 ; Published in Advance March 5, 2026, doi:10.1101/gr.281171.125
..., Canberra 2601, Australia; 3Bioinformatics and Cellular Genomics, St Vincent’s Institute, Fitzroy, Victoria 3065, Australia Gene networks provide a fundamental framework for understanding the molecular mechanisms that govern gene expression. Advances in single-cell RNA sequencing (scRNA-seq) have enabled...
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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
...cellular contexts in single-cell RNA sequencing (scRNA-seq) data. Based on the topology of these functional networks, DeCEP identifies context-dependent hub genes, calculates DeCEP scores, and determines the states of individual cells. (B) DeCEP anchors cell states to spatial locations in spatial...
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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
...from different tissues.Several recent efforts have attempted to generate atlas-scale single-cell data. Examples include The Human BioMolecular Atlas Program (HuBMAP) (HuBMAP Consortium 2019; Jain et al. 2023), the Human Cell Atlas (HCA) (Rozenblatt-Rosen et al. 2017), the Cellular Senescence Network...
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Resource: Common and specific gene regulatory programs in zebrafish caudal fin regeneration at single-cell resolution
- Yujie Chen,
- Yiran Hou,
- Qinglin Zeng,
- Irene Wang,
- Meiru Shang,
- Kwangdeok Shin,
- Christopher Hemauer,
- Xiaoyun Xing,
- Junsu Kang,
- Guoyan Zhao,
- and Ting Wang
Genome Res. January 2025 35: 202-218; Published in Advance January 14, 2025, doi:10.1101/gr.279372.124
..., which is characterized by several waves of gene upregulation and downregulation. We identified and in vivo validated cell-type-specific and position-specific regeneration-responsive enhancers and constructed regulatory networks by cell type and stage. Our single-cell resolution transcriptomic...
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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
...of finding reprogramming TFs and their combinations as an inverse problem, and used Tikhonov regularization to guarantee the generalization ability of solutions. For the coefficient matrix of the model, we designed a graph attention network to augment gene regulatory networks built with single-cell RNA...
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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
...principal component (PC) embeddings of gene expression are popular for single-cell analysis, with distances in PC space being used to cluster cells into groups (Fa et al. 2021) and measure differences between these groups (Nicol et al. 2024). Furthermore, contrastive methods (Abid et al. 2018; Gorla et al...
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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
...–specific cis-regulatory DNA elements (CREs), we pinpoint 141 ADNC-associated genes. Using gene set enrichment analysis (GSEA) and network proximity analysis, we further identify nine candidate repurposable drugs that were associated with these ADNC-related genes. In summary, this cell type–specific multiomic...
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