Evidence map›Paper›PMID 38307861›Full record

ArticleNature communications2024

Nanoparticle enrichment mass-spectrometry proteomics identifies protein-altering variants for precise pQTL mapping.

Karsten Suhre, Guhan Ram Venkataraman, Harendra Guturu, Anna Halama, Nisha Stephan, Gaurav Thareja, Hina Sarwath, Khatereh Motamedchaboki, Margaret K R Donovan, Asim Siddiqui and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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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

12 authors.

Karsten SuhreBioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144, Doha, Qatar. kas2049@qatar-med.cornell.edu.ORCID 0000-0001-9638-3912
Guhan Ram VenkataramanSeer, Inc., Redwood City, Redwood City, CA, 94065, USA.
Harendra GuturuSeer, Inc., Redwood City, Redwood City, CA, 94065, USA.
Anna HalamaBioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144, Doha, Qatar.ORCID 0000-0003-4910-6255
Nisha StephanBioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144, Doha, Qatar.
Gaurav TharejaBioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144, Doha, Qatar.ORCID 0000-0003-2277-6400
Hina SarwathProteomics Core, Weill Cornell Medicine-Qatar, Education City, 24144, Doha, Qatar.
Khatereh MotamedchabokiSeer, Inc., Redwood City, Redwood City, CA, 94065, USA.
Margaret K R DonovanSeer, Inc., Redwood City, Redwood City, CA, 94065, USA.
Asim SiddiquiSeer, Inc., Redwood City, Redwood City, CA, 94065, USA.
Serafim BatzoglouSeer, Inc., Redwood City, Redwood City, CA, 94065, USA.
Frank SchmidtProteomics Core, Weill Cornell Medicine-Qatar, Education City, 24144, Doha, Qatar.

Funding

Qatar Foundation (Qatar Foundation for Education, Science and Community Development) Biomedical Research Program at Weill Cornell Medicine in QatarQatar National Research Fund (QNRF) NPRP11C-0115-180010
6 · The paper itself

Abstract

Proteogenomics studies generate hypotheses on protein function and provide genetic evidence for drug target prioritization. Most previous work has been conducted using affinity-based proteomics approaches. These technologies face challenges, such as uncertainty regarding target identity, non-specific binding, and handling of variants that affect epitope affinity binding. Mass spectrometry-based proteomics can overcome some of these challenges. Here we report a pQTL study using the Proteograph™ Product Suite workflow (Seer, Inc.) where we quantify over 18,000 unique peptides from nearly 3000 proteins in more than 320 blood samples from a multi-ethnic cohort in a bottom-up, peptide-centric, mass spectrometry-based proteomics approach. We identify 184 protein-altering variants in 137 genes that are significantly associated with their corresponding variant peptides, confirming target specificity of co-associated affinity binders, identifying putatively causal cis-encoded proteins and providing experimental evidence for their presence in blood, including proteins that may be inaccessible to affinity-based proteomics.

Indexed as

ProteogenomicsProteomicsHumansMass SpectrometryMutant ProteinsPeptidesProteinsMutant ProteinsPeptidesProteins

Identifiers

PMID38307861
PMCPMC10837160

What OpenQuestion holds

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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.