Evidence map›Paper›PMID 41928962›Full record

ArticlebioRxiv : the preprint server for biology2026

Capturing Cardiomyocyte Cell-to-Cell Heterogeneity via Shotgun Single Cell Top-Down Proteomics.

Fabio P Gomes, Blandine Chazarin, Aleksandra Binek, Aleix Navarro Garrido, Kenneth R Durbin, Ricard Garcia-Carbonell, Kanchan Pathak, Delaynie Brinkman, Reynaldo Magalhaes Melo, Anja Karlstaedt and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Fabio P GomesVirginia Commonwealth University, Department of Chemistry, Richmond, VA 23284.
Blandine ChazarinAdvanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048.
Aleksandra BinekAdvanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048.
Aleix Navarro GarridoThe Scripps Research Institute, Departments of Integrative Structural and Computational Biology and Molecular and Cellular Biology, La Jolla, CA 92037.
Kenneth R DurbinProteinaceous, Evanston, IL 60201.
Ricard Garcia-CarbonellThe Scripps Research Institute, Departments of Integrative Structural and Computational Biology and Molecular and Cellular Biology, La Jolla, CA 92037.
Kanchan PathakVirginia Commonwealth University, Department of Chemistry, Richmond, VA 23284.
Delaynie BrinkmanVirginia Commonwealth University, Department of Chemistry, Richmond, VA 23284.
Reynaldo Magalhaes MeloThe Scripps Research Institute, Departments of Integrative Structural and Computational Biology and Molecular and Cellular Biology, La Jolla, CA 92037.
Anja KarlstaedtDepartment of Cardiology, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048.ORCID 0000-0001-5689-3571
Enrique SaezThe Scripps Research Institute, Departments of Integrative Structural and Computational Biology and Molecular and Cellular Biology, La Jolla, CA 92037.
Jennifer E Van EykAdvanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048.
John R YatesThe Scripps Research Institute, Departments of Integrative Structural and Computational Biology and Molecular and Cellular Biology, La Jolla, CA 92037.

Funding

Proteogenetics of Autism Spectrum DisordersR01MH100175 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI MUOTRI, ALYSSON R., YATES III, JOHN R · 2013 to 2025
$7.4M
Exosome Therapeutics to Dissect HFpEF MechanismsR01HL155346 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI MARBAN, EDUARDO, VAN EYK, JENNIFER E · 2021 to 2024
$3.3M
Intracellular trafficking of the essential signaling metabolite heme in myeloid cells: impact on physiology and diseaseR01DK138430 · NIDDK · SCRIPPS RESEARCH INSTITUTE, THE · PI Laszlo Nagy, Enrique Saez · 2024 to 2026
$3.0M
Regulation of the Dynamic Proteome after Ischemic InjuryR01HL144509 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI GOTTLIEB, ROBERTA A., VAN EYK, JENNIFER E · 2019 to 2022
$2.9M
Regulation of cardiac metabolism during LeukemiaR01HL177461 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Anja Karlstaedt · 2025 to 2026
$1.1M
Metabolic Rewiring of the Heart Through Reductive CarboxylationR00HL141702 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI KARLSTAEDT, ANJA · 2021 to 2023
$747k
High Throughput Methods for Single Cell ProteomicsR21MH129776 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI YATES III, JOHN R · 2022 to 2023
$493k
NHLBI NIH HHS R00 HL141702NHLBI NIH HHS R01 HL144509NHLBI NIH HHS R01 HL155346NHLBI NIH HHS R01 HL177461NIDDK NIH HHS R01 DK138430NIMH NIH HHS R01 MH100175NIMH NIH HHS R21 MH129776
6 · The paper itself

Abstract

Individual cells exhibit distinct molecular landscapes shaped by proteins and the diverse functional repertoire of their corresponding proteoforms. These structurally diverse variants (e.g., post-translationally modified including truncated proteolyzed forms) collectively orchestrate cellular functions. However, resolving proteoform heterogeneity at single-cell (SC) resolution remains a significant analytical challenge. Here, we present a shotgun SC top-down proteomics (SC-TDP) strategy that enables direct, unbiased proteoform profiling from single cardiomyocytes. Across 13 individual cardiomyocytes isolated from mouse heart, we identified a total of 57 proteins represented by 165 distinct proteoforms, including phosphorylated, succinylated, trimethylated, truncated, amongst others. Notably, proteoform composition varied substantially among cells, revealing a previously unrecognized level of molecular heterogeneity among cardiomyocytes. Together, these findings establish SC-TDP as a powerful tool for uncovering the proteoform diversity at the SC level. Our strategy paves the way for defining functional heterogeneity in cardiac tissue with unprecedented molecular resolution, enabling direct examination of the proteoform landscape that underlies cellular identity and physiology.

Identifiers

PMID41928962
PMCPMC13042075

What OpenQuestion holds

Textmetadata
LicenceCC0
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.