Evidence map›Paper›PMID 41785993›Full record

ArticleMolecular & cellular proteomics : MCP2026

Single-Cell Proteomics Reveals Novel Cell Phenotypes in Marfan Mouse Aneurysm.

Louis Saddic, Ashley Dinh, Giselle Kaneda, Amanda Momenzadeh, Lior Zilberberg, Yang Song, Mitra Mastali, Simion Kreimer, Alexandre Hutton, Ali Haghani and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Classification with Missing Data - AbioRxiv : the preprint server for biology · 2026
    Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Louis SaddicDepartment of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Ashley DinhDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA; Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Giselle KanedaDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Amanda MomenzadehDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Lior ZilberbergDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA; Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Yang SongDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA; Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Mitra MastaliDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA; Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Simion KreimerDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA; Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Alexandre HuttonDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Ali HaghaniDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA; Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Jesse G MeyerSmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Sarah J ParkerDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA; Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA; Board of Governors Innovation Center, Cedars-Sinai Medical Center, Los Angeles, California, USA. Electronic address: Sarah.parker@cshs.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This report describes single-cell proteomic analyses of cells dissociated from a complex mammalian tissue using direct label-free mass spectrometry (single-cell proteomics by mass spectrometry, SCP-MS). The nanoDTSC approach was applied to profile individual cells from aorta of male and female wild-type and Fbn1

Indexed as

Aortic AneurysmMarfan SyndromeProteomicsSingle-Cell AnalysisAdipokinesAnimalsAortaFemaleFibrillin-1GenotypeMaleMass SpectrometryMiceMultiomicsMyocytes, Smooth MusclePhenotypeAdipokinesFibrillin-1aortic aneurysmMarfan syndromemultiomic integrationsingle-cell proteomics

Identifiers

PMID41785993
PMCPMC13090654

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.