Evidence map›Paper›PMID 28325876›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Comprehensive and quantitative mapping of RNA-protein interactions across a transcribed eukaryotic genome.

Richard She, Anupam K Chakravarty, Curtis J Layton, Lauren M Chircus, Johan O L Andreasson, Nandita Damaraju, Peter L McMahon, Jason D Buenrostro, Daniel F Jarosz, William J Greenleaf

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 106 citations in OpenAlex.

  1. Review
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  12. Review
  13. Massively Parallel Profiling of RNA-targeting CRISPR-Cas13d.bioRxiv : the preprint server for biology · 2023
    Article
  14. Dissecting the energetic architecture within an RNA tertiary structural motif via high-throughput thermodynamic measurements.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
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  18. Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
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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

10 authors at 1 institution in 1 country.

Richard SheDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305.
Anupam K ChakravartyDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305.
Curtis J LaytonDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305.
Lauren M ChircusDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305.
Johan O L AndreassonDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305.
Nandita DamarajuDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305.
Peter L McMahonDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305.
Jason D BuenrostroDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305.
Daniel F JaroszDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305; wjg@stanford.edu jarosz@stanford.edu.ORCID 0000-0003-3497-5888
William J GreenleafDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305; wjg@stanford.edu jarosz@stanford.edu.
Stanford University · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Time-resolved small angle X-ray scatteringP01GM066275 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2003 to 2017
$17.8M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI COVERT, MARKUS W · 2013 to 2017
$10.9M
High-throughput systematic characterization of regulatory element functionUM1HG009436 · NHGRI · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C, GREENLEAF, WILLIAM JAMES · 2017 to 2021
$5.4M
Protein-based Molecular Memories in Gene Regulation, Disease, and DevelopmentDP2GM119140 · NIGMS · STANFORD UNIVERSITY · PI JAROSZ, DANIEL · 2015 to 2015
$2.4M
Quantitative high-throughput nucleic acid assays on a sequencing chipR01GM111990 · NIGMS · STANFORD UNIVERSITY · PI GREENLEAF, WILLIAM JAMES · 2014 to 2018
$1.5M
Howard Hughes Medical InstituteNHGRI NIH HHS P50 HG007735NHGRI NIH HHS T32 HG000044NHGRI NIH HHS UM1 HG009436NIGMS NIH HHS DP2 GM119140NIGMS NIH HHS P01 GM066275NIGMS NIH HHS P50 GM107615NIGMS NIH HHS R01 GM111990
6 · The paper itself

Abstract

RNA-binding proteins (RBPs) control the fate of nearly every transcript in a cell. However, no existing approach for studying these posttranscriptional gene regulators combines transcriptome-wide throughput and biophysical precision. Here, we describe an assay that accomplishes this. Using commonly available hardware, we built a customizable, open-source platform that leverages the inherent throughput of Illumina technology for direct biophysical measurements. We used the platform to quantitatively measure the binding affinity of the prototypical RBP Vts1 for every transcript in the

Indexed as

Binding SitesComputational BiologyGene Regulatory NetworksModels, MolecularProtein BindingProtein ConformationRNA-Binding ProteinsRNA, FungalRNA, MessengerRNA StabilitySaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsRNA-Binding ProteinsRNA, FungalRNA, MessengerSaccharomyces cerevisiae ProteinsVts1 protein, S cerevisiaenext-generation sequencingRNARNA binding proteinssystems biochemistryVts1

Identifiers

PMID28325876
PMCPMC5389288
OpenAlexW2601661097

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.