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Resource: Multitissue single-nucleus RNA-seq reveals cell type–specific regulatory patterns of alternative polyadenylation in pigs
- Qiuhan Wen,
- Zhen Wang,
- Qi Bao,
- Tianli Ding,
- Haihan Zhang,
- Jianbo Li,
- Zhuang Liu,
- Jieping Huang,
- and Guoqiang Yi
Genome Res. September 2025 35: 2116-2129; Published in Advance June 16, 2025, doi:10.1101/gr.280095.124
...polyadenylation (APA) plays a crucial role in gene regulation and phenotypic diversity. Whereas extensive studies have explored the global APA landscape using bulk RNA-seq data, in-depth analyses of APA events at the single-cell level remain limited—particularly in farm animals. In this study, we construct...
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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
...assumption of these technologies.The rapid expansion of single-cell technologies has introduced various sequencing platforms that produce data with different qualities. For example, in contrast to transcript end sequencing technologies, full-length scRNA-seq covers the entire sequence of RNA molecules...
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Method: Single-cell Rapid Capture Hybridization sequencing reliably detects isoform usage and coding mutations in targeted genes
- Hongke Peng,
- Jafar S. Jabbari,
- Luyi Tian,
- Changqing Wang,
- Yupei You,
- Chong Chyn Chua,
- Natasha S. Anstee,
- Noorul Amin,
- Andrew H. Wei,
- Nadia M. Davidson,
- Andrew W. Roberts,
- David C.S. Huang,
- Matthew E. Ritchie,
- and Rachel Thijssen
Genome Res. April 2025 35: 942-955; Published in Advance January 10, 2025, doi:10.1101/gr.279322.124
...-read single-cell RNA sequencing (scRNA-seq) data reveals significant gene expression differences in SF3B1-mutated CLL cells, although it does not impact the sensitivity of the anticancer drug venetoclax. scRaCH-seq's capability to study long-read transcripts of multiple genes makes it a powerful tool...
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Research: Long-read single-cell RNA sequencing enables the study of cancer subclone-specific genotypes and phenotypes in chronic lymphocytic leukemia
- Gage S. Black,
- Xiaomeng Huang,
- Yi Qiao,
- Philip Moos,
- Deepa Sampath,
- Deborah M. Stephens,
- Jennifer A. Woyach,
- and Gabor T. Marth
Genome Res. April 2025 35: 686-697; Published in Advance February 18, 2025, doi:10.1101/gr.279049.124
...-mutated subclones exhibit distinct transcriptomic behavior when compared to other cancer subclones. To achieve these goals, we use scBayes, which integrates bulk DNA sequencing and single-cell RNA sequencing (scRNA-seq) data to genotype individual cells for subclone-defining mutations. Although the most common...
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Research: Integrating short-read and long-read single-cell RNA sequencing for comprehensive transcriptome profiling in mouse retina
- Meng Wang,
- Yumei Li,
- Jun Wang,
- Soo Hwan Oh,
- Yexuan Cao,
- and Rui Chen
Genome Res. April 2025 35: 740-754; Published in Advance March 6, 2025, doi:10.1101/gr.279167.124
...examined the transcripts identified exclusively using bulk RNA-seq data (15,304) and found that a significant portion of those (6834, 45%) were filtered out under the stringent abundance criteria applied to single-cell data. This indicated over 70% (19,864 out of 28,334) of isoforms detected using bulk RNA-seq...
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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
...transcripts in a set of cells. By combining standard Illumina-based single-cell RNA-seq quantification of cultured cells’ transcriptomes with PacBio sequencing of the viral transcripts, it was found that this viral genetic variation explained part, but not all, of the heterogeneity in viral gene expression...
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Method: Benchmarking bulk and single-cell variant-calling approaches on Chromium scRNA-seq and scATAC-seq libraries
- Matthew Wiens,
- Hossein Farahani,
- R. Wilder Scott,
- T. Michael Underhill,
- and Ali Bashashati
Genome Res. August 2024 34: 1196-1210; Published in Advance August 15, 2024, doi:10.1101/gr.277066.122
...in the cells. Additionally, Strelka SC also generates a very high cFDR across different allele coverages in the case of scRNA-seq. Overall, this result supports the suspicion of others that existing single-cell variant callers are not suitable for Chromium data, although this may not be the case for all...
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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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Research: Single-cell spatial transcriptomics reveals a dystrophic trajectory following a developmental bifurcation of myoblast cell fates in facioscapulohumeral muscular dystrophy
- Lujia Chen,
- Xiangduo Kong,
- Kevin G. Johnston,
- Ali Mortazavi,
- Todd C. Holmes,
- Zhiqun Tan,
- Kyoko Yokomori,
- and Xiangmin Xu
Genome Res. May 2024 34: 665-679; Published in Advance May 22, 2024, doi:10.1101/gr.278717.123
...percentage of cells, requiring single-cell analysis. However, single-cell/nucleus RNA-seq cannot fully capture the transcriptome of multinucleated large myotubes. To circumvent these issues, we use multiplexed error-robust fluorescent in situ hybridization (MERFISH) spatial transcriptomics that allows...
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Method: A Bayesian framework to study tumor subclone–specific expression by combining bulk DNA and single-cell RNA sequencing data
- Yi Qiao,
- Xiaomeng Huang,
- Philip J. Moos,
- Jonathan M. Ahmann,
- Anthony D. Pomicter,
- Michael W. Deininger,
- John C. Byrd,
- Jennifer A. Woyach,
- Deborah M. Stephens,
- and Gabor T. Marth
Genome Res. January 2024 34: 94-105; Published in Advance January 9, 2024, doi:10.1101/gr.278234.123
...RNA sequencing (scRNA-seq), respectively. However, tools are currently lacking to link genomic tumor subclonality with transcriptomic heterogeneity by integrating genomic and single-cell transcriptomic data collected from the same tumor. To address this gap, we developed scBayes, a Bayesian...
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