Evidence map›Paper›PMID 39539550›Full record

ArticleFrontiers in immunology2024

A cost-effective protocol for single-cell RNA sequencing of human skin.

Saba Khoshbakht, Özgür Albayrak, Ergün Tiryaki, Orhan Ağcaoğlu, Ayşe Öktem, Gizem Pınar Sun, Elif Er Gülbezer, Sümeyre Seda Ertekin, Ayşe Boyvat, Atay Vural and 1 more

Abstract read
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Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Saba Khoshbakht *Graduate School of Health Sciences, Koç University, Istanbul, Türkiye.
Özgür Albayrak *Koç University Research Center for Translational Medicine, Koç University, Istanbul, Türkiye.
Ergün TiryakiGraduate School of Health Sciences, Koç University, Istanbul, Türkiye.
Orhan AğcaoğluDepartment of Surgery, Koç University School of Medicine, Istanbul, Türkiye.
Ayşe ÖktemDepartment of Dermatology, Ankara University Faculty of Medicine, Ankara, Türkiye.
Gizem Pınar SunDepartment of Dermatology, Başakşehir Çam ve Sakura Şehir Hastanesi, Istanbul, Türkiye.
Elif Er GülbezerDepartment of Rheumatology, Koç University School of Medicine, Istanbul, Türkiye.
Sümeyre Seda ErtekinDepartment of Dermatology, Koç University School of Medicine, Istanbul, Türkiye.
Ayşe BoyvatDepartment of Dermatology, Ankara University Faculty of Medicine, Ankara, Türkiye.
Atay Vural *Koç University Research Center for Translational Medicine, Koç University, Istanbul, Türkiye.
Seçil Vural *Koç University Research Center for Translational Medicine, Koç University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Single-cell RNA sequencing (scRNAseq) and flow cytometry studies in skin are methodologically complex and costly, limiting their accessibility to researchers worldwide. Ideally, RNA and protein-based analyses should be performed on the same lesion to obtain more comprehensive data. However, current protocols generally focus on either scRNAseq or flow cytometry of healthy skin. Methods: We present a novel label-free sample multiplexing strategy, building on the souporcell algorithm, which enables scRNAseq analysis of paired blood and skin samples. Additionally, we provide detailed instructions for simultaneous flow cytometry analysis from the same sample, with necessary adaptations for both healthy and inflamed skin specimens. Results: This tissue multiplexing strategy mitigates technical batch effects and reduces costs by 2-4 times compared to existing protocols. We also demonstrate the effects of varying enzymatic incubation durations (1, 3, and 16 hours, with and without enzyme P) on flow cytometry outcomes. Comprehensive explanations of bioinformatic demultiplexing steps and a detailed step-by-step protocol of the entire experimental procedure are included. Discussion: The protocol outlined in this article will make scRNAseq and flow cytometry analysis of skin samples more accessible to researchers, especially those new to these techniques.

Indexed as

Flow CytometrySingle-Cell AnalysisSkinComputational BiologyCost-Benefit AnalysisHumansSequence Analysis, RNAflow cytometryinflammationmultiplexingsingle cell RNA sequencing (scRNA)skinskin dissociationsouporcell

Identifiers

PMID39539550
PMCPMC11557338

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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.