Evidence map›Paper›PMID 28055303›Full record

ArticleCell cycle (Georgetown, Tex.)2017

Gene length as a biological timer to establish temporal transcriptional regulation.

Killeen S Kirkconnell, Brian Magnuson, Michelle T Paulsen, Brian Lu, Karan Bedi, Mats Ljungman

Abstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Article
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  11. Article
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  14. Article
  15. What does time mean in development?Development (Cambridge, England) · 2018
    Review
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

6 authors.

Killeen S Kirkconnella Department of Radiation Oncology , University of Michigan Comprehensive Cancer Center, Translational Oncology Program, and Center for RNA Biomedicine, University of Michigan , Ann Arbor , MI , USA.
Brian Magnusona Department of Radiation Oncology , University of Michigan Comprehensive Cancer Center, Translational Oncology Program, and Center for RNA Biomedicine, University of Michigan , Ann Arbor , MI , USA.
Michelle T Paulsena Department of Radiation Oncology , University of Michigan Comprehensive Cancer Center, Translational Oncology Program, and Center for RNA Biomedicine, University of Michigan , Ann Arbor , MI , USA.
Brian Lua Department of Radiation Oncology , University of Michigan Comprehensive Cancer Center, Translational Oncology Program, and Center for RNA Biomedicine, University of Michigan , Ann Arbor , MI , USA.
Karan Bedia Department of Radiation Oncology , University of Michigan Comprehensive Cancer Center, Translational Oncology Program, and Center for RNA Biomedicine, University of Michigan , Ann Arbor , MI , USA.
Mats Ljungmana Department of Radiation Oncology , University of Michigan Comprehensive Cancer Center, Translational Oncology Program, and Center for RNA Biomedicine, University of Michigan , Ann Arbor , MI , USA.

Funding

PREDOCTORAL TRAINING IN GENETICST32GM007544 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORAN, JOHN V. · 1985 to 2022
$11.3M
NIGMS NIH HHS T32 GM007544
6 · The paper itself

Abstract

Transcriptional timing is inherently influenced by gene length, thus providing a mechanism for temporal regulation of gene expression. While gene size has been shown to be important for the expression timing of specific genes during early development, whether it plays a role in the timing of other global gene expression programs has not been extensively explored. Here, we investigate the role of gene length during the early transcriptional response of human fibroblasts to serum stimulation. Using the nascent sequencing techniques Bru-seq and BruUV-seq, we identified immediate genome-wide transcriptional changes following serum stimulation that were linked to rapid activation of enhancer elements. We identified 873 significantly induced and 209 significantly repressed genes. Variations in gene size allowed for a large group of genes to be simultaneously activated but produce full-length RNAs at different times. The median length of the group of serum-induced genes was significantly larger than the median length of all expressed genes, housekeeping genes, and serum-repressed genes. These gene length relationships were also observed in corresponding mouse orthologs, suggesting that relative gene size is evolutionarily conserved. The sizes of transcription factor and microRNA genes immediately induced after serum stimulation varied dramatically, setting up a cascade mechanism for temporal expression arising from a single activation event. The retention and expansion of large intronic sequences during evolution have likely played important roles in fine-tuning the temporal expression of target genes in various cellular response programs.

Indexed as

Gene Expression RegulationGenesTranscription, GeneticAnimalsBromouracilConserved SequenceEnhancer Elements, GeneticEvolution, MolecularFibroblastsHumansMaleMiceMicroRNAsModels, BiologicalOligonucleotide Array Sequence AnalysisSerum5-bromouridineBromouracilMicroRNAsSerum Response FactorTranscription FactorsUridineenhancer elementsevolutionintron sizenascent RNA sequencingserum responsetranscription initiation

Identifiers

PMID28055303
PMCPMC5323030

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.