High-resolution analysis of cell-state transitions in yeast suggests widespread transcriptional tuning by alternative starts
Open accessAbstract
Background: The start and end sites of messenger RNAs (TSSs and TESs) are highly regulated, often in a cell-type-specific manner. Yet the contribution of transcript diversity in regulating gene expression remains largely elusive. We perform an integrative analysis of multiple highly synchronized cell-fate transitions and quantitative genomic techniques in Saccharomyces cerevisiae to identify regulatory functions associated with transcribing alternative isoforms. Results: Cell-fate transitions feature widespread elevated expression of alternative TSS and, to a lesser degree, TES usage. These dynamically regulated alternative TSSs are located mostly upstream of canonical TSSs, but also within gene bodies possibly encoding for protein isoforms. Increased upstream alternative TSS usage is linked to various effects on canonical TSS levels, which range from co-activation to repression. We identified two key features linked to these outcomes: an interplay between alternative and canonical promoter strengths, and distance between alternative and canonical TSSs. These two regulatory properties give a plausible explanation of how locally transcribed alternative TSSs control gene transcription. Additionally, we find that specific chromatin modifiers Set2, Set3, and FACT play an important role in mediating gene repression via alternative TSSs, further supporting that the act of upstream transcription drives the local changes in gene transcription. Conclusions: The integrative analysis of multiple cell-fate transitions suggests the presence of a regulatory control system of alternative TSSs that is important for dynamic tuning of gene expression. Our work provides a framework for understanding how TSS heterogeneity governs eukaryotic gene expression, particularly during cell-fate changes.
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Many genes utilize alternative promoters for specific processes such as cell fate transitions in yeast and mammalian cells, vertebrate embryogenesis, and may have important roles in cancer.
“In addition to reference promoters, many genes utilize alternative promoters for specific processes, such as cell fate transitions in yeast16 and mammalian cells17, in vertebrate embryogenesis12,18, and may have important roles in cancer19.”
From Alternative promoters in CpG depleted regions are prevalently associated with epigenetic misregulation of liver cancer transcriptomes (2023) · cites this paper as [16]
A highly expressed promoter is often annotated as reference promoter, which is what we used in this study.
“a highly expressed promoter is often annotated as the reference promoter16,19, which is what we used in this study”
From Alternative promoters in CpG depleted regions are prevalently associated with epigenetic misregulation of liver cancer transcriptomes (2023) · cites this paper as [16]
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Nepal, C., & Andersen, J. B. (2023) · Nature Communications · doi:10.1038/s41467-023-38272-4 · Cited by 39 · see citing works
- Authors
- Chia, M., Li, C., Marques, S., Pelechano, V., Luscombe, N. M., & van Werven, F. J.
- Affiliations
- The Francis Crick Institute (GB)
- Science for Life Laboratory (SE)
- Okinawa Institute of Science and Technology Graduate University (JP)
- Venue
- Genome Biology
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- 2021-01-14
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- 22
- Issue
- 1
- Pages
- 34-34
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC7807719
- OpenAlex
- W3123778796
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- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Okinawa Institute of Science and Technology Graduate University (Okinawa Institute of Science and Technology Graduate University) (submittedVersion, cc-by-nc-nd)
- Funders
- Medical Research Foundation (10203, FC001110)
- Wellcome Trust (10203, FC001110)
- Cancer Research UK (10203, FC001110)
- European Molecular Biology Organization (ALTF 1499–2016)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- alternative transcription start sites, cell fate transitions, cell state transitions, Saccharomyces cerevisiae, promoter strength, gene expression regulation, gene repression, chromatin modifiers, Set2, FACT complex, mRNA isoforms
- MeSH terms
- Chromatin, Promoter Regions, Genetic, RNA, Messenger, Saccharomyces cerevisiae, Transcription Factors, Gene Expression Regulation, Fungal, Protein Isoforms, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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