Evidence map›Paper›PMID 35230153›Full record

ArticleMicrobiology spectrum2022

Degree of Freedom of Gene Expression in Saccharomyces cerevisiae.

Zhen Yang, Feng Xu, Aijuan Xue, Hong Lv, Yungang He

Abstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhen YangShanghai Fifth People's Hospital, Fudan Universitygrid.8547.e, Shanghai, China.ORCID 0000-0002-5647-9976
Feng XuShanghai Fifth People's Hospital, Fudan Universitygrid.8547.e, Shanghai, China.
Aijuan XueShanghai Fifth People's Hospital, Fudan Universitygrid.8547.e, Shanghai, China.
Hong LvState Key Laboratory of Genetic Engineering, School of Life Science, Fudan Universitygrid.8547.e, Shanghai, China.
Yungang HeShanghai Fifth People's Hospital, Fudan Universitygrid.8547.e, Shanghai, China.ORCID 0000-0002-2931-2871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of genome-wide gene expression has not yet been adequately addressed due to a lack of comprehensive statistical analyses. In the present study, we introduce degree of freedom (DOF) as a summary statistic for evaluating gene expression complexity. Because DOF can be interpreted by a state-space representation, application of the DOF is highly useful for understanding gene activities. We used over 11,000 gene expression data sets to reveal that the DOF of gene expression in Saccharomyces cerevisiae is not greater than 450. We further demonstrated that various degrees of freedom of gene expression can be interpreted by different sequence motifs within promoter regions and Gene Ontology (GO) terms. The well-known TATA box is the most significant one among the identified motifs, while the GO term "ribosome genesis" is an associated biological process. On the basis of transcriptional freedom, our findings suggest that the regulation of gene expression can be modeled using only a few state variables.

Indexed as

Saccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsGene ExpressionGene Expression Regulation, FungalSaccharomyces cerevisiae Proteinscoordinate systemdegree of freedomgene activitygene expressionSaccharomyces cerevisiae

Identifiers

PMID35230153
PMCPMC9045123

What OpenQuestion holds

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Registered trials

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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.