Evidence map›Paper›PMID 33037152›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

In vivo mRNA display enables large-scale proteomics by next generation sequencing.

Panos Oikonomou, Roberto Salatino, Saeed Tavazoie

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Dosa: A method to covalently barcode proteins for high-throughput biochemistry.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Review
  4. Biomacromolecules · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Nucleic-acid sequencing of proteomes.Nature reviews. Genetics · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Panos OikonomouDepartment of Biological Sciences, Columbia University, New York, NY 10027; po2194@columbia.edu st2744@columbia.edu.ORCID 0000-0001-7387-0312
Roberto SalatinoDepartment of Systems Biology, Columbia University, New York, NY 10032.
Saeed TavazoieDepartment of Biological Sciences, Columbia University, New York, NY 10027; po2194@columbia.edu st2744@columbia.edu.ORCID 0000-0003-2183-4162
Columbia University · US

Funding

Massively parallel mapping of all molecular interactions in a single tubeR01HG009065 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TAVAZOIE, SAEED F · 2015 to 2019
$3.2M
NHGRI NIH HHS R01 HG009065
6 · The paper itself

Abstract

Large-scale proteomic methods are essential for the functional characterization of proteins in their native cellular context. However, proteomics has lagged far behind genomic approaches in scalability, standardization, and cost. Here, we introduce in vivo mRNA display, a technology that converts a variety of proteomics applications into a DNA sequencing problem. In vivo-expressed proteins are coupled with their encoding messenger RNAs (mRNAs) via a high-affinity stem-loop RNA binding domain interaction, enabling high-throughput identification of proteins with high sensitivity and specificity by next generation DNA sequencing. We have generated a high-coverage in vivo mRNA display library of the

Indexed as

RNA, MessengerDNA, FungalGene LibraryHigh-Throughput Nucleotide SequencingProtein Interaction MappingProteomeProteomicsSaccharomyces cerevisiae ProteinsSequence Analysis, DNADNA, FungalProteomeRNA, MessengerSaccharomyces cerevisiae ProteinsmRNA displayMS2 taggingprotein display technologiesprotein–protein interactionsproteomics

Identifiers

PMID33037152
PMCPMC7604504
OpenAlexW3091814197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.