Evidence map›Paper›PMID 34348091›Full record

ArticleMolecular cell2021

Revealing protein-protein interactions at the transcriptome scale by sequencing.

Kara L Johnson, Zhijie Qi, Zhangming Yan, Xingzhao Wen, Tri C Nguyen, Kathia Zaleta-Rivera, Chien-Ju Chen, Xiaochen Fan, Kiran Sriram, Xueyi Wan and 2 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Molecular cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. RNA-binding activity of PHGDH drives amyloid-beta production in a human brain organoid model of sporadic Alzheimer's disease.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  17. Frontiers in immunology · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Kara L JohnsonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Zhijie QiDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Zhangming YanDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Xingzhao WenBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.
Tri C NguyenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Kathia Zaleta-RiveraDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Chien-Ju ChenBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.
Xiaochen FanDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Kiran SriramDepartment of Diabetes Complications and Metabolism, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA.
Xueyi WanDivision of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
Zhen Bouman ChenDepartment of Diabetes Complications and Metabolism, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA.
Sheng ZhongDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: szhong@ucsd.edu.
University of California, San Diego · USBeckman Research InstituteCity of Hope · US

Funding

Extremely high-throughput mapping of protein, RNA, and chromatin interactions in health and diseaseDP1DK126138 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2020 to 2024
$3.7M
Long non-coding RNA-mediated chromatin remodeling in angiogenesisR01HL145170 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI CHEN, ZHEN BOUMAN · 2019 to 2023
$2.6M
Revealing protein-protein interactions and RNA-protein interactions at genome-scale in two weeksR01GM138852 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2020 to 2023
$1.5M
NHLBI NIH HHS R01 HL145170NIDDK NIH HHS DP1 DK126138NIGMS NIH HHS R01 GM138852
6 · The paper itself

Abstract

We describe PROPER-seq (protein-protein interaction sequencing) to map protein-protein interactions (PPIs) en masse. PROPER-seq first converts transcriptomes of input cells into RNA-barcoded protein libraries, in which all interacting protein pairs are captured through nucleotide barcode ligation, recorded as chimeric DNA sequences, and decoded at once by sequencing and mapping. We applied PROPER-seq to human embryonic kidney cells, T lymphocytes, and endothelial cells and identified 210,518 human PPIs (collected in the PROPER v.1.0 database). Among these, 1,365 and 2,480 PPIs are supported by published co-immunoprecipitation (coIP) and affinity purification-mass spectrometry (AP-MS) data, 17,638 PPIs are predicted by the prePPI algorithm without previous experimental validation, and 100 PPIs overlap human synthetic lethal gene pairs. In addition, four previously uncharacterized interaction partners with poly(ADP-ribose) polymerase 1 (PARP1) (a critical protein in DNA repair) known as XPO1, MATR3, IPO5, and LEO1 are validated in vivo. PROPER-seq presents a time-effective technology to map PPIs at the transcriptome scale, and PROPER v.1.0 provides a rich resource for studying PPIs.

Indexed as

Computational BiologyGene Expression ProfilingProtein Interaction MappingProtein Interaction MapsRNA-SeqTranscriptomebeta KaryopherinsDatabases, GeneticExportin 1 ProteinFemaleGenes, LethalHEK293 CellsHumansHuman Umbilical Vein Endothelial CellsJurkat CellsKaryopherinsbeta KaryopherinsExportin 1 ProteinIPO5 protein, humanKaryopherinsLEO1 protein, humanMATR3 protein, humanNuclear Matrix-Associated ProteinsPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1ProteinsReceptors, Cytoplasmic and NuclearRNA-Binding ProteinsTranscription FactorsCo-immunoprecipitationNetworkPARP1PROPER-seqProtein-protein interactionProtein structureProximity ligation assaySequencingSMART-displaySynthetic lethal

Identifiers

PMID34348091
PMCPMC8500946
OpenAlexW3187487600

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.