scPCOR-seq enables co-profiling of chromatin occupancy and RNAs in single cells Article Swipe
Lixia Pan
,
Wai Lim Ku
,
Qingsong Tang
,
Yaqiang Cao
,
Keji Zhao
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1038/s42003-022-03584-6
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1038/s42003-022-03584-6
Cell-to-cell variation in gene expression is a widespread phenomenon, which may play important roles in cellular differentiation, function, and disease development 1–9 . Chromatin is implicated in contributing to the cellular heterogeneity in gene expression 10–16 . Fully understanding the mechanisms of cellular heterogeneity requires simultaneous measurement of RNA and occupancy of histone modifications and transcription factors on chromatin due to their critical roles in transcriptional regulation 17,18 . We generally term the occupancy of histone modifications and transcription factors as Chromatin occupancy. Here, we report a technique, termed scPCOR-seq ( s ingle- c ell P rofiling of C hromatin O ccupancy and R NAs S equencing), for simultaneously profiling genome-wide chromatin protein binding or histone modification marks and RNA expression in the same cell. We demonstrated that scPCOR-seq can profile either H3K4me3 or RNAPII and RNAs in a mixture of human H1, GM12878 and 293 T cells at a single-cell resolution and either H3K4me3, RNAPII, or RNA profile can correctly separate the cells. Application of scPCOR-seq to the in vitro differentiation of the erythrocyte precursor CD36 cells from human CD34 stem or progenitor cells revealed that H3K4me3 and RNA exhibit distinct properties in clustering cells during differentiation. Overall, our work provides a promising approach to understand the relationships among different omics layers.
Related Topics
Concepts
H3K4me3
Chromatin
Biology
Histone
RNA
Cell biology
Epigenetics
Gene expression
Cellular differentiation
Transcriptome
Computational biology
Genetics
Gene
Promoter
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s42003-022-03584-6
- https://www.nature.com/articles/s42003-022-03584-6.pdf
- OA Status
- gold
- Cited By
- 16
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4284974781
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4284974781Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s42003-022-03584-6Digital Object Identifier
- Title
-
scPCOR-seq enables co-profiling of chromatin occupancy and RNAs in single cellsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-07-08Full publication date if available
- Authors
-
Lixia Pan, Wai Lim Ku, Qingsong Tang, Yaqiang Cao, Keji ZhaoList of authors in order
- Landing page
-
https://doi.org/10.1038/s42003-022-03584-6Publisher landing page
- PDF URL
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https://www.nature.com/articles/s42003-022-03584-6.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.nature.com/articles/s42003-022-03584-6.pdfDirect OA link when available
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H3K4me3, Chromatin, Biology, Histone, RNA, Cell biology, Epigenetics, Gene expression, Cellular differentiation, Transcriptome, Computational biology, Genetics, Gene, PromoterTop concepts (fields/topics) attached by OpenAlex
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16Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 6, 2023: 6Per-year citation counts (last 5 years)
- References (count)
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50Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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