Evidence map›Paper›PMID 34397090›Full record

ArticleThe Biochemical journal2021

Evolutionary rate covariation identifies SLC30A9 (ZnT9) as a mitochondrial zinc transporter.

Amanda Kowalczyk, Omotola Gbadamosi, Kathryn Kolor, Jahree Sosa, Livia Andrzejczuk, Gregory Gibson, Claudette St Croix, Maria Chikina, Elias Aizenman, Nathan Clark and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Biochemical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 34 citations in OpenAlex.

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  8. Correlated Gene Copy Number Changes in a Seminal Fluid Protein Network inbioRxiv : the preprint server for biology · 2025
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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

11 authors at 3 institutions in 1 country.

Amanda KowalczykJoint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA 15213, U.S.A.
Omotola GbadamosiDepartment of Biological Science, University of Pittsburgh, Pittsburgh, PA 15260, U.S.A.
Kathryn KolorDepartment of Biological Science, University of Pittsburgh, Pittsburgh, PA 15260, U.S.A.
Jahree SosaDepartment of Biological Science, University of Pittsburgh, Pittsburgh, PA 15260, U.S.A.
Livia AndrzejczukDepartment of Biological Science, University of Pittsburgh, Pittsburgh, PA 15260, U.S.A.
Gregory GibsonCenter for Biologic Imaging, University of Pittsburgh, Pittsburgh, PA 15260, U.S.A.
Claudette St CroixCenter for Biologic Imaging, University of Pittsburgh, Pittsburgh, PA 15260, U.S.A.
Maria ChikinaDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, U.S.A.
Elias AizenmanDepartment of Neurobiology and Pittsburgh Institute for Neurodegenerative Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260, U.S.A.
Nathan ClarkDepartment of Human Genetics, University of Utah, Utah 84112, U.S.A.
Kirill KiselyovDepartment of Biological Science, University of Pittsburgh, Pittsburgh, PA 15260, U.S.A.ORCID 0000-0001-6683-2895
University of Pittsburgh · USInstitute for Neurodegenerative Disorders · USUniversity of Utah · US

Funding

Title: Functional Annotation of Genomes via Phenotypic Convergence within Large Multi-species AlignmentsR01HG009299 · NHGRI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Maria D Chikina, Nathaniel L Clark · 2017 to 2026
$4.1M
ZnT9 function in the mitochondriaR21NS111944 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENMAN, ELIAS, KISELYOV, KIRILL · 2019 to 2019
$432k
NHGRI NIH HHS R01 HG009299NINDS NIH HHS R21 NS111944
6 · The paper itself

Abstract

Recent advances in genome sequencing have led to the identification of new ion and metabolite transporters, many of which have not been characterized. Due to the variety of subcellular localizations, cargo and transport mechanisms, such characterization is a daunting task, and predictive approaches focused on the functional context of transporters are very much needed. Here we present a case for identifying a transporter localization using evolutionary rate covariation (ERC), a computational approach based on pairwise correlations of amino acid sequence evolutionary rates across the mammalian phylogeny. As a case study, we find that poorly characterized transporter SLC30A9 (ZnT9) coevolves with several components of the mitochondrial oxidative phosphorylation chain, suggesting mitochondrial localization. We confirmed this computational finding experimentally using recombinant human SLC30A9. SLC30A9 loss caused zinc mishandling in the mitochondria, suggesting that under normal conditions it acts as a zinc exporter. We therefore propose that ERC can be used to predict the functional context of novel transporters and other poorly characterized proteins.

Indexed as

Evolution, MolecularAmino Acid SequenceAnimalsCarrier ProteinsCation Transport ProteinsCell Cycle ProteinsComputational BiologyGene Knockdown TechniquesHeLa CellsHumansMitochondriaMitochondrial ProteinsPhylogenySignal TransductionTranscription FactorsTransfectionCarrier ProteinsCation Transport ProteinsCell Cycle ProteinsMitochondrial ProteinsSLC30A9 protein, humanTranscription FactorsZinczinc-binding proteincellular localizationevolutionary biologymolecular evolutionzinc transport

Identifiers

PMID34397090
PMCPMC10491466
OpenAlexW3196110145

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.