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Transcriptome landscape of myeloid cells in human skin reveals diversity, rare populations and putative DC progenitors
Xue D, Tabib T, Morse C, Lafyatis R.. Journal of dermatological science, 2019-11-29
Topic: Brain proteins, microglia and lab models
Background The heterogeneous functions of dermal myeloid cells in antigen presentation, and scavenging pathogens and cell debris places them centrally in cutaneous inflammation. Single cell transcriptomics can provide new understanding of the heterogeneity and function of yet incompletely understood human dermal myeloid cell subsets. Objective Investigate the transcriptome landscape of myeloid cells in healthy human skin.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Xue, D., Tabib, T., Morse, C., & Lafyatis, R. (2020). Transcriptome landscape of myeloid cells in human skin reveals diversity, rare populations and putative DC progenitors. Journal of dermatological science. https://doi.org/10.1016/j.jdermsci.2019.11.012
Vancouver
Xue D, Tabib T, Morse C, Lafyatis R. Transcriptome landscape of myeloid cells in human skin reveals diversity, rare populations and putative DC progenitors. Journal of dermatological science. 2020. doi:10.1016/j.jdermsci.2019.11.012. PMID: 31836271.
BibTeX
@article{xue2020-31836271,
author = {Xue, D. and Tabib, T. and Morse, C. and Lafyatis, R.},
title = {{Transcriptome landscape of myeloid cells in human skin reveals diversity, rare populations and putative DC progenitors}},
journal = {Journal of dermatological science},
year = {2020},
doi = {10.1016/j.jdermsci.2019.11.012},
pmid = {31836271},
url = {https://doi.org/10.1016/j.jdermsci.2019.11.012}
}
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Key findings
- Single cell transcriptomics can provide new understanding of the heterogeneity and function of yet incompletely understood human dermal myeloid cell subsets.
- Objective Investigate the transcriptome landscape of myeloid cells in healthy human skin.
- Methods Single cell RNA-sequencing was performed on skin biopsies from ten healthy donors and analyzed to identify myeloid cell populations.
- Results One LIN - HLA-DR + cluster with expression of myeloid-specific genes was identified as a cluster of myeloid cells.
Why it matters
This study used single-cell RNA sequencing to describe myeloid cell diversity in healthy human skin. It does not study Alzheimer's disease and provides no information on treating, curing or preventing it.
New to this subject? Start with our plain-English guide: Genetics →
Study details
- Evidence strengthLow
How this study scored 39/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomized / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of dermatological science) |
| Journal's citation record | 1 / 4 | Journal of Dermatological Science: journal h-index 131 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2020 — within 10 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 4 / 7 | Cited 56 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 7.0 citations a year over 8 year(s) since 2020 |
| Impact for its field and year | 2 / 6 | Cited 2.7× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 1 / 6 | Cited by 1 other studies in this library |
| Still being cited | 1 / 4 | Cited 12 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Robert Lafyatis: h-index 83 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | University of Pittsburgh: institution h-index 1,470 (OpenAlex) |
| Multicenter collaboration | 2 / 3 | OpenAlex lists 4 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 31836271) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 39 / 100 | — |
What each of these 20 components measures, and what this score is not →
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