Evidence map›Paper›PMID 33599394›Full record

ArticleMolecular systems biology2021

From chemoproteomic-detected amino acids to genomic coordinates: insights into precise multi-omic data integration.

Maria F Palafox, Heta S Desai, Valerie A Arboleda, Keriann M Backus

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  9. Multi-omic stratification of the missense variant cysteinome.bioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. Article
  12. New approaches to target RNA binding proteins.Current opinion in chemical biology · 2021
    Review
  13. Article
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

4 authors at 1 institution in 1 country.

Maria F PalafoxDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.ORCID 0000-0002-4752-953X
Heta S DesaiDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Valerie A ArboledaDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.ORCID 0000-0002-9687-9122
Keriann M BackusDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.ORCID 0000-0001-8541-1404
University of California, Los Angeles · US

Funding

CHEMISTRY BIOLOGY INTERFACE TRAINING PROGRAMT32GM008496 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYNARD, HEATHER D · 1993 to 2019
$6.3M
Unraveling correlations between Mendelian and common disease using functional genomicsDP5OD024579 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARBOLEDA, VALERIE A · 2017 to 2021
$1.9M
Dissecting the spectrum of genetic architectures underlying congenital heart defects.R03HL150604 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARBOLEDA, VALERIE A · 2020 to 2021
$312k
NHLBI NIH HHS R03 HL150604NIGMS NIH HHS T32 GM008496NIH HHS DP5 OD024579
6 · The paper itself

Abstract

The integration of proteomic, transcriptomic, and genetic variant annotation data will improve our understanding of genotype-phenotype associations. Due, in part, to challenges associated with accurate inter-database mapping, such multi-omic studies have not extended to chemoproteomics, a method that measures the intrinsic reactivity and potential "druggability" of nucleophilic amino acid side chains. Here, we evaluated mapping approaches to match chemoproteomic-detected cysteine and lysine residues with their genetic coordinates. Our analysis revealed that database update cycles and reliance on stable identifiers can lead to pervasive misidentification of labeled residues. Enabled by this examination of mapping strategies, we then integrated our chemoproteomics data with computational methods for predicting genetic variant pathogenicity, which revealed that codons of highly reactive cysteines are enriched for genetic variants that are predicted to be more deleterious and allowed us to identify and functionally characterize a new damaging residue in the cysteine protease caspase-8. Our study provides a roadmap for more precise inter-database mapping and points to untapped opportunities to improve the predictive power of pathogenicity scores and to advance prioritization of putative druggable sites.

Indexed as

Genetic VariationAmino AcidsCell LineComputational BiologyDatabases, GeneticGenetic Association StudiesGenomicsHumansJurkat CellsModels, MolecularProteomicsAmino Acidsamino acid reactivitychemoproteomicsgenetic pathogenicity predictioninter-database mappingmulti-omics

Identifiers

PMID33599394
PMCPMC7890448
OpenAlexW3131162150

What OpenQuestion holds

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LicenceCC BY
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.