Evidence map›Paper›PMID 41951880›Full record

ReviewStem cell reviews and reports2026

Integrating Single-Cell Sequencing and Proteomics to Unravel Stem Cell Heterogeneity: Implications for Precision Regenerative Medicine.

Mohammed Zayed, Ahmed Massoud, Roya Al-Haddad, Ahmed Al-Kubaisi, Walid Said, Amany Atiaa, Byung-Hoon Jeong

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews and reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Mohammed ZayedKorea Zoonosis Research Institute, Jeonbuk National University, Iksan, 54531, Republic of Korea. mzayed2@vet.svu.edu.eg.
Ahmed MassoudFaculty of Science, Alamein International University, New Alamein City, 51718, Egypt.
Roya Al-HaddadScientific Research Commission, Baghdad, 10001, Iraq.
Ahmed Al-KubaisiDepartment of Forensic Evidence, College of Science, University of Al Maarif, Al Anbar, 31001, Iraq.
Walid SaidDepartment of Microbiology and Botany, Faculty of Science, Benha University, Kalyobiya, 13511, Egypt.
Amany AtiaaDepartment of Physical Therapy for Surgery, Faculty of Physical Therapy, Sinai University, Ismailia, 41636, Egypt.
Byung-Hoon JeongKorea Zoonosis Research Institute, Jeonbuk National University, Iksan, 54531, Republic of Korea. bhjeong@jbnu.ac.kr.

Funding

National Research Foundation of Korea (NRF) RS-2025-00517133, RS-2025-24792972National Research Foundation of Korea (NRF) RS-2025-23963916
6 · The paper itself

Abstract

Stem cell populations are inherently diverse, consisting of distinct subtypes with unique molecular signatures, self-renewal capacities, and differentiation potentials. This natural variability complicates their clinical use, leading to unpredictable treatment outcomes and safety concerns in regenerative medicine. Traditional bulk analysis methods obscure this vital cellular diversity by providing average data. Therefore, studying stem cell heterogeneity at the single-cell level is crucial for developing reliable and precise therapeutic strategies. This review examines how integrating single-cell sequencing with proteomics technologies enhances the current understanding of stem cell biology. We discuss how single-cell RNA sequencing reveals transcriptomic diversity, identifies rare subpopulations, and traces lineage pathways. Additionally, we highlight emerging single-cell proteomic techniques, such as mass cytometry and high-sensitivity mass spectrometry, which directly analyze functional protein expression and signaling networks that ultimately define cellular phenotypes. Combining these methods provides a comprehensive view of stem cell states, offering insights into the molecular mechanisms that influence fate decisions and responses to external signals. Ultimately, these advances enable precision regenerative medicine by improving cell characterization and developing tailored differentiation strategies for safe and effective clinical applications.

Indexed as

Precision MedicineProteomicsRegenerative MedicineSingle-Cell AnalysisStem CellsAnimalsCell DifferentiationHumansSingle-Cell Gene Expression AnalysisHeterogeneityMulti-omicsRegenerative medicineSingle-cell proteomicsSingle-cell RNA sequencingStem cells

Identifiers

What OpenQuestion holds

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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.