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Series GSE216321 Query DataSets for GSE216321
Status Public on Jan 05, 2023
Title High level and nature of transcriptional noise in yeast cells [4tU-Seq]
Organism Saccharomyces cerevisiae
Experiment type Other
Summary “Biological noise” is defined as functionally insignificant events that occur in living cells due to imperfect fidelity of biological processes. Distinguishing between biological function and biological noise is often difficult, and experiments to measure biological noise have not been performed. Here, we measure biological noise in yeast cells by analyzing chromatin structure and transcription of an 18 kb region of DNA whose sequence was randomly generated and hence is functionally irrelevant. Nucleosome occupancy on random-sequence DNA is comparable to that on yeast genomic DNA. However, nucleosome-depleted regions are much less frequent, and there are fewer well-positioned nucleosomes and shorter nucleosome arrays. Steady-state levels of RNAs expressed from random-sequence DNA are comparable to those of yeast mRNAs, although transcription and mRNA decay rates are at higher levels. Transcriptional initiation (5’ ends) from random-sequence DNA occurs at numerous sites at low levels, indicating very low intrinsic specificity of the Pol II machinery. In contrast, poly(A) profiles (relative levels and clustering of 3’ isoforms) of random-sequence RNAs are roughly comparable to those of endogenous yeast RNAs, which are restricted to 3’ untranslated regions. RNAs expressed from random-sequence DNA show higher cell-to-cell variability than RNAs expressed from yeast genomic DNA, suggesting that functional elements limit the variability among individual cells within a population. These observations indicate that transcriptional noise occurs at high levels in yeast, and they provide insight into how chromatin and transcription patterns arise from the evolved yeast genome.
 
Overall design 4tU-Seq of the strain harboring random-sequence artificial chromosome (ChrXVII).
 
Contributor(s) Gvozdenov Z, Struhl K
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NIH grant(s)
Grant ID Grant title Affiliation Name
F32 GM140555 Transcriptome-scale, condition-specific regulation of mRNA isoform stability via the 3'UTR HARVARD UNIVERSITY (MEDICAL SCHOOL) Zlata Gvozdenov
R01 GM030186 Mechanisms of yeast transcriptional initiation HARVARD UNIVERSITY (MEDICAL SCHOOL) KEVIN STRUHL
R35 GM131801 Mechanism of yeast gene regulation HARVARD UNIVERSITY (MEDICAL SCHOOL) KEVIN STRUHL
Submission date Oct 21, 2022
Last update date Jan 07, 2023
Contact name Zlata Gvozdenov
Organization name Harvard Medical School
Department BCMP
Lab Kevin Struhl
Street address 240 Longwood Ave
City Boston
State/province MA
ZIP/Postal code 02115
Country USA
 
Platforms (1)
GPL26302 NextSeq 550 (Saccharomyces cerevisiae)
Samples (5)
GSM6668787 4tU-Seq Replicate 1
GSM6668788 4tU-Seq Replicate 2
GSM6668789 4tU-Seq Replicate 3
This SubSeries is part of SuperSeries:
GSE216450 High level and nature of transcriptional noise in yeast cells
Relations
BioProject PRJNA893652

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Supplementary file Size Download File type/resource
GSE216321_RAW.tar 196.5 Mb (http)(custom) TAR (of BED)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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