Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 14% 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
4 citing papers in PubMed, 16 citations in OpenAlex.
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
8 authors at 2 institutions in 1 country.
Aaron J StoreyDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, United States.
Rebecca E HardmanInterdisciplinary Graduate Program in Cell and Molecular Biology, University of Arkansas, Fayetteville, Arkansas 72701, United States.
Stephanie D ByrumDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, United States.
Samuel G MackintoshDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, United States.
Rick D EdmondsonCollege of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, United States.
Wayne P WahlsDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, United States.
Alan J TackettDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, United States.ORCID 0000-0002-3672-4460
Jeffrey A LewisDepartment of Biological Sciences, University of Arkansas, Fayetteville, Arkansas 72701, United States.ORCID 0000-0003-2952-9701
University of Arkansas for Medical Sciences · USUniversity of Arkansas at Fayetteville · US
Funding
Understanding Hesitant AdoptersP20GM103429 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI Lawrence E Cornett, JERRY WARE · 2012 to 2026
$60.9M
Translational Regulation in Normal Erythropoiesis and Diamond Blackfan AnemiaP20GM121293 · NIGMS · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI Samrat Roy Choudhury · 2017 to 2026
$27.6M
Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
Study of the Cell-specific Inflammasome Responses During Defense Against Gram-negative BacteriaP20GM103625 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2012 to 2021
$21.5M
Arkansas Center for Clinical and Translational ResearchUL1TR000039 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$10.0M
Biochemistry of recombination in meiosisR01GM081766 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI WAHLS, WAYNE P · 2007 to 2018
$2.5M
Epigenetic profiling and enzymatic regulation of H3K23me3 during cellular differentiationR01GM118760 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI TAVERNA, SEAN D. · 2017 to 2020
$1.5M
J. NRSA TrainingTL1TR003109 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI SEXTON, KEVIN WAYNE · 2019 to 2023
$1.5M
Orbitrap Fusion Tribrid Mass SpectrometerS10OD018445 · OD · UNIV OF ARKANSAS FOR MED SCIS · PI MACKINTOSH, SAMUEL G. · 2015 to 2015
Cells respond to environmental perturbations and insults through modulating protein abundance and function. However, the majority of studies have focused on changes in RNA abundance because quantitative transcriptomics has historically been more facile than quantitative proteomics. Modern Orbitrap mass spectrometers now provide sensitive and deep proteome coverage, allowing direct, global quantification of not only protein abundance but also post-translational modifications (PTMs) that regulate protein activity. We implemented and validated using the well-characterized heat shock response of budding yeast, a tandem mass tagging (TMT), triple-stage mass spectrometry (MS
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.
Accurate and Sensitive Quantitation of the Dynamic Heat Shock Proteome Using Tandem Mass Tags. · full record | OpenQuestion