Searching journal content for articles similar to Islam et al. 21 (7): 1160.

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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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Method: Label-free selection of marker genes in single-cell and spatial transcriptomics with geneCover
- An Wang,
- Stephanie Hicks,
- Donald Geman,
- and Laurent Younes
Genome Res. December 2025 35: 2744-2755; Published in Advance November 12, 2025, doi:10.1101/gr.280539.125
...for Imaging Science, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: awang87@jhu.eduAbstractThe selection of marker gene panels is critical for capturing the cellular and spatial heterogeneity in the expanding atlases of single-cell RNA sequencing (scRNA-seq) and spatial...
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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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Review: Advancements in prospective single-cell lineage barcoding and their applications in research
- Xiaoli Zhang,
- Yirui Huang,
- Yajing Yang,
- Qi-En Wang,
- and Lang Li
Genome Res. December 2024 34: 2147-2162; Published in Advance November 21, 2024, doi:10.1101/gr.278944.124
...of misidentifying the correct cell groups. These inaccuracies introduce biases into the depiction of the complexity of biological processes, impeding an accurate understanding of the molecular mechanisms involved (Kester and van Oudenaarden 2018).The recent breakthrough in single-cell RNA sequencing (scRNA-seq) has...
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Review: Understanding isoform expression by pairing long-read sequencing with single-cell and spatial transcriptomics
- Natan Belchikov,
- Justine Hsu,
- Xiang Jennie Li,
- Julien Jarroux,
- Wen Hu,
- Anoushka Joglekar,
- and Hagen U. Tilgner
Genome Res. November 2024 34: 1735-1746; doi:10.1101/gr.279640.124
..., the abundance of noncoding transcripts of protein-coding genes visible in the long-read data would have resulted in an ∼20% overestimation of protein expression based on short-read data (Dondi et al. 2023). Associations between genotype and splicing changes using ONT single-cell RNA-seq were likewise observed...
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Method: Linear-time cluster ensembles of large-scale single-cell RNA-seq and multimodal data
- Van Hoan Do,
- Francisca Rojas Ringeling,
- and Stefan Canzar
Genome Res. April 2021 31: 677-688; Published in Advance February 24, 2021, doi:10.1101/gr.267906.120
...Van Hoan Do, Francisca Rojas Ringeling and Stefan Canzar Gene Center, Ludwig-Maximilians-Universität München, 81377 Munich, Germany Corresponding author: canzar@genzentrum.lmu.deAbstractA fundamental task in single-cell RNA-seq (scRNA-seq) analysis is the identification of transcriptionally...
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Method: Alignment of single-cell RNA-seq samples without overcorrection using kernel density matching
- Mengjie Chen,
- Qi Zhan,
- Zepeng Mu,
- Lili Wang,
- Zhaohui Zheng,
- Jinlin Miao,
- Ping Zhu,
- and Yang I. Li
Genome Res. April 2021 31: 698-712; Published in Advance March 19, 2021, doi:10.1101/gr.261115.120
...: mengjiechen@uchicago.edu, zhuping@fmmu.edu.cn, yangili1@uchicago.eduAbstractSingle-cell RNA sequencing (scRNA-seq) technology is poised to replace bulk cell RNA sequencing for many biological and medical applications as it allows users to measure gene expression levels in a cell type–specific manner. However...
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Research: Landscape of microRNA and target expression variation and covariation in single mouse embryonic stem cells
- Marcel Tarbier,
- Sebastian D. Mackowiak,
- Vaishnovi Sekar,
- Franziska Bonath,
- Etka Yapar,
- Bastian Fromm,
- Omid R. Faridani,
- Inna Biryukova,
- and Marc R. Friedländer
Genome Res. February 2026 36: 291-302; Published in Advance January 12, 2026, doi:10.1101/gr.279914.124
...RNA-seq methods to study the variation of the targets and the microRNAs themselves, and transcriptional inhibition to measure target half-lives. We find that microRNAs form four distinct coexpression groups across single cells. In particular, the mir-290 and the mir-182 clusters are abundantly...
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Research: Genetic control of the dynamic transcriptional response to immune stimuli and glucocorticoids at single-cell resolution
- Justyna A. Resztak,
- Julong Wei,
- Samuele Zilioli,
- Edward Sendler,
- Adnan Alazizi,
- Henriette E. Mair-Meijers,
- Peijun Wu,
- Xiaoquan Wen,
- Richard B. Slatcher,
- Xiang Zhou,
- Francesca Luca,
- and Roger Pique-Regi
Genome Res. June 2023 33: 839-856; Published in Advance July 13, 2023, doi:10.1101/gr.276765.122
...variability and dynamics to gain a better understanding of the molecular underpinnings of inter-individual variation in drug response. Here, we used single-cell RNA-seq to study the dynamics of the transcriptional response to glucocorticoids in activated peripheral blood mononuclear cells from 96 African...
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Resource: Murine single-cell RNA-seq reveals cell-identity- and tissue-specific trajectories of aging
- Jacob C. Kimmel,
- Lolita Penland,
- Nimrod D. Rubinstein,
- David G. Hendrickson,
- David R. Kelley,
- and Adam Z. Rosenthal
Genome Res. December 2019 29: 2088-2103; Published in Advance November 21, 2019, doi:10.1101/gr.253880.119
...and environments on the trajectory of aging in individual cells remains unclear. Here, we performed single-cell RNA-seq on >50,000 individual cells across three tissues in young and old mice to allow for direct comparison of aging phenotypes across cell types. We found transcriptional features of aging common...
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