Evidence map›Paper›PMID 39856491›Full record

ArticleJournal of proteome research2025

Cell Storage Conditions Impact Single-Cell Proteomic Landscapes.

Bora Onat, Amanda Momenzadeh, Ali Haghani, Yuming Jiang, Yang Song, Sarah J Parker, Jesse G Meyer

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

7 authors.

Bora OnatDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.
Amanda MomenzadehDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0002-8614-0690
Ali HaghaniAdvanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.
Yuming JiangDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.
Yang SongAdvanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.
Sarah J ParkerBiomedical Sciences, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0001-8911-3615
Jesse G MeyerDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0003-2753-3926

Funding

Democratizing Multi-Omics to Expedite Discovery of Hidden Metabolic PathwaysR35GM142502 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI MEYER, JESSE · 2021 to 2025
$2.2M
NIGMS NIH HHS R35 GM142502
6 · The paper itself

Abstract

Single cell transcriptomics (SCT) has revolutionized our understanding of cellular heterogeneity, yet the emergence of single cell proteomics (SCP) promises a more functional view of cellular dynamics. A challenge is that not all mass spectrometry facilities can perform SCP, and not all laboratories have access to cell sorting equipment required for SCP, which together motivate an interest in sending bulk cell samples through the mail for sorting and SCP analysis. Shipping requires cell storage, which has an unknown effect on SCP results. This study investigates the impact of cell storage conditions on the proteomic landscape at the single cell level, utilizing Data-Independent Acquisition (DIA) coupled with Parallel Accumulation Serial Fragmentation (diaPASEF). Three storage conditions were compared in 293T cells: (1) 37 °C (control), (2) 4 °C overnight, and (3) -196 °C storage followed by liquid nitrogen preservation. Both cold and frozen storage induced significant alterations in the cell diameter, elongation, and proteome composition. By elucidating how cell storage conditions alter cellular morphology and proteome profiles, this study contributes foundational technical information about SCP sample preparation and data quality.

Indexed as

ProteomeProteomicsSingle-Cell AnalysisHEK293 CellsHumansMass SpectrometryProteomeHEK293TLC−MSSCPsingle cell proteomicsstorage conditionstimsTOF-SCP

Identifiers

PMID39856491
PMCPMC11976838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.