Evidence map›Paper›PMID 38853926›Full record

ArticlebioRxiv : the preprint server for biology2024

Ancient eukaryotic protein interactions illuminate modern genetic traits and disorders.

Rachael M Cox, Ophelia Papoulas, Shirlee Shril, Chanjae Lee, Tynan Gardner, Anna M Battenhouse, Muyoung Lee, Kevin Drew, Claire D McWhite, David Yang and 5 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Rachael M CoxDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-5407-1101
Ophelia PapoulasDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-6370-0616
Shirlee ShrilDivision of Nephrology, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02215, USA.
Chanjae LeeDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-8748-1369
Tynan GardnerDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.
Anna M BattenhouseDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-7455-9064
Muyoung LeeDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-4913-6289
Kevin DrewDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, IL 60607, USA.ORCID 0000-0002-1260-4413
Claire D McWhiteLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0001-7346-3047
David YangDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.
Janelle C LeggereDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-5225-6046
Dannie DurandDepartment of Biological Sciences, Carnegie Mellon University, 4400 5th Avenue Pittsburgh, PA 15213, USA.ORCID 0000-0002-3505-6640
Friedhelm HildebrandtDivision of Nephrology, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0002-7130-0030
John B WallingfordDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-8701-4293
Edward M MarcotteDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-8808-180X

Funding

Novel genetics, pathobiology & therapy of nephronophthisis-related ciliopathiesR01DK068306 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HILDEBRANDT, FRIEDHELM · 2004 to 2022
$6.6M
Mapping the CPLANE interactome, an extensive protein interaction network underlying human ciliopathiesR01HD085901 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE, John B Wallingford · 2016 to 2026
$6.2M
Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
Discovery and characterization of novel ciliopathy protein complexesR00HD092613 · NICHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DREW, KEVIN · 2021 to 2023
$732k
Acquisition of a Q-Exactive HF Mass SpectrometerS10OD027016 · OD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI COLOGNA, STEPHANIE M · 2019 to 2019
$600k
Leveraging comparative proteomics to improve human disease modelsF31GM143881 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI COX, RACHAEL M · 2021 to 2024
$88k
NICHD NIH HHS R00 HD092613NICHD NIH HHS R01 HD085901NIDDK NIH HHS R01 DK068306NIGMS NIH HHS F31 GM143881NIGMS NIH HHS R35 GM122480NIH HHS S10 OD027016
6 · The paper itself

Abstract

All eukaryotes share a common ancestor from roughly 1.5 - 1.8 billion years ago, a single-celled, swimming microbe known as LECA, the Last Eukaryotic Common Ancestor. Nearly half of the genes in modern eukaryotes were present in LECA, and many current genetic diseases and traits stem from these ancient molecular systems. To better understand these systems, we compared genes across modern organisms and identified a core set of 10,092 shared protein-coding gene families likely present in LECA, a quarter of which are uncharacterized. We then integrated >26,000 mass spectrometry proteomics analyses from 31 species to infer how these proteins interact in higher-order complexes. The resulting interactome describes the biochemical organization of LECA, revealing both known and new assemblies. We analyzed these ancient protein interactions to find new human gene-disease relationships for bone density and congenital birth defects, demonstrating the value of ancestral protein interactions for guiding functional genetics today.

Identifiers

PMID38853926
PMCPMC11160598

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Registered trials

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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.