Evidence map›Paper›PMID 40686746›Full record

ReviewAmerican journal of stem cells2025

Melanocyte dysfunctions: future and promise of stem cells.

Sharique A Ali, Gulafsha Kassab, Tasneem Husain

Abstract readReview
In one paragraph

Review in American journal of stem cells, 2025. 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

3 authors.

Sharique A AliDepartment of Biotechnology and Zoology, Saifia College, Barkatullah University Bhopal 462001, India.
Gulafsha KassabPresent Address: Department of Biotechnology, Government Arts and Commerce College Sagar, India.
Tasneem HusainDepartment of Biotechnology and Zoology, Saifia College, Barkatullah University Bhopal 462001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human melanocytes (MCs) and melanocyte stem cells (McSCs) are integral to skin pigmentation and appendage pigmentation, originating embryonically from neural crest cells. In adult skin, McSCs residing in the epidermis sustain the continuous regeneration of functional melanocytes, a process vital for skin homeostasis and repair. Advances in McSC research have unravelled their pivotal roles in combating disorders such as vitiligo, hair greying, impaired wound healing, and melanoma. Previous studies have significantly advanced our knowledge of the cellular and molecular characteristics of this unique stem cell population. However, a comprehensive understanding of their characteristics in melanocyte dysfunctions leading to conditions like vitiligo is still lacking. Dysfunction or depletion of McSCs is linked to these conditions, highlighting their significance in maintaining skin health. Cutting-edge technologies like single-cell RNA sequencing, spatial transcriptomics, gene editing, and whole-genome sequencing have deepened our understanding of McSC biology and their regulatory microenvironment. This review delves into the latest discoveries, offering a comprehensive perspective on McSCs and their therapeutic potential. By identifying specific molecular signals and crosstalk mechanisms, McSC research opens avenues for regenerative medicine applications, including skin repigmentation, tissue repair, and cancer treatment. The field's progression sets the stage for transformative breakthroughs in skin regeneration and broader regenerative therapies.

Indexed as

hair greyinghomeostasisMelanocyte stem cellmelanomamicroenvironment

Identifiers

PMID40686746
PMCPMC12267124

What OpenQuestion holds

Textmetadata
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.