Evidence map›Paper›PMID 25173176›Full record

ArticleNature structural & molecular biology2014

High-temporal-resolution view of transcription and chromatin states across distinct metabolic states in budding yeast.

Zheng Kuang, Ling Cai, Xuekui Zhang, Hongkai Ji, Benjamin P Tu, Jef D Boeke

Open access · greenAbstract read
In one paragraph

Article in Nature structural & molecular biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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

52 citing papers in PubMed, 77 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Zheng Kuang1] High Throughput Biology Center, Johns Hopkins University, Baltimore, Maryland, USA. [2] Department of Molecular Biology &Genetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. [3] Institute for Systems Genetics, NYU Langone Medical Center, New York, New York, USA. [4] Department of Biochemistry and Molecular Pharmacology, NYU Langone Medical Center, New York, New York, USA.
Ling CaiDepartment of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Xuekui ZhangDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000000347282343
Hongkai JiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Benjamin P TuDepartment of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jef D Boeke1] High Throughput Biology Center, Johns Hopkins University, Baltimore, Maryland, USA. [2] Department of Molecular Biology &Genetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. [3] Institute for Systems Genetics, NYU Langone Medical Center, New York, New York, USA. [4] Department of Biochemistry and Molecular Pharmacology, NYU Langone Medical Center, New York, New York, USA.
Johns Hopkins University · USThe University of Texas Southwestern Medical Center · US

Funding

JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI AHIMA, REXFORD S. · 2013 to 2017
$9.7M
Networks, Pathways and Dynamics of Lysine ModificationU54GM103520 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BADER, JOEL S. · 2012 to 2013
$7.0M
METABOLIC SIGNALS DRIVING CELL GROWTH & PROLIFERATIONR01GM094314 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI TU, BENJAMIN P · 2010 to 2019
$3.2M
Statistical and Computational Tools for Next-generation ChIP-seq ApplicationsR01HG006841 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI JI, HONGKAI · 2012 to 2014
$951k
NHGRI NIH HHS R01 HG006841NHGRI NIH HHS R01HG006841NIDDK NIH HHS P30 DK079637NIGMS NIH HHS R01 GM094314NIGMS NIH HHS R01GM094314NIGMS NIH HHS U54 GM103520NIGMS NIH HHS U54GM103520
6 · The paper itself

Abstract

Under continuous, glucose-limited conditions, budding yeast exhibit robust metabolic cycles associated with major oscillations of gene expression. How such fluctuations are linked to changes in chromatin status is not well understood. Here we examine the correlated genome-wide transcription and chromatin states across the yeast metabolic cycle at unprecedented temporal resolution, revealing a 'just-in-time supply chain' by which components from specific cellular processes such as ribosome biogenesis become available in a highly coordinated manner. We identify distinct chromatin and splicing patterns associated with different gene categories and determine the relative timing of chromatin modifications relative to maximal transcription. There is unexpected variation in the chromatin modification and expression relationship, with histone acetylation peaks occurring with varying timing and 'sharpness' relative to RNA expression both within and between cycle phases. Chromatin-modifier occupancy reveals subtly distinct spatial and temporal patterns compared to those of the modifications themselves.

Indexed as

Protein Processing, Post-TranslationalTranscription, GeneticAcetylationChromatinChromatin Assembly and DisassemblyGene ExpressionGene Expression ProfilingGene Expression Regulation, FungalHistonesOligonucleotide Array Sequence AnalysisRibosomesRNA, MessengerRNA SplicingSaccharomyces cerevisiaeChromatinHistonesRNA, Messenger

Identifiers

PMID25173176
PMCPMC4190017
OpenAlexW2021285383

What OpenQuestion holds

Textmetadata
LicenceTDM
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.