ArticleCell reports2021
TooManyPeaks identifies drug-resistant-specific regulatory elements from single-cell leukemic epigenomes.
Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Best practices for differential accessibility analysis in single-cell epigenomics.Nature communications · 2024Article
- Identification of leukemia stem cell subsets with distinct transcriptional, epigenetic and functional properties.Leukemia · 2024Article
- AnnoSpat annotates cell types and quantifies cellular arrangements from spatial proteomics.Nature communications · 2024Article
- A fast, scalable and versatile tool for analysis of single-cell omics data.Nature methods · 2024Article
- TooManyCellsInteractive: A visualization tool for dynamic exploration of single-cell data.GigaScience · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Emerging single-cell epigenomic assays are used to investigate the heterogeneity of chromatin activity and its function. However, identifying cells with distinct regulatory elements and clearly visualizing their relationships remains challenging. To this end, we introduce TooManyPeaks to address the need for the simultaneous study of chromatin state heterogeneity in both rare and abundant subpopulations. Our analyses of existing data from three widely used single-cell assays for transposase-accessible chromatin using sequencing (scATAC-seq) show the superior performance of TooManyPeaks in delineating and visualizing pure clusters of rare and abundant subpopulations. Furthermore, the application of TooManyPeaks to new scATAC-seq data from drug-naive and drug-resistant leukemic T cells clearly visualizes relationships among these cells and stratifies a rare "resistant-like" drug-naive sub-clone with distinct cis-regulatory elements.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.