Evidence map›Paper›PMID 38520033›Full record

ArticleBiology of sex differences2024

Reprograming skin fibroblasts into Sertoli cells: a patient-specific tool to understand effects of genetic variants on gonadal development.

Abhinav Parivesh, Emmanuèle Délot, Alejandra Reyes, Janelle Ryan, Surajit Bhattacharya, Vincent Harley, Eric Vilain

Open access · goldAbstract read
In one paragraph

Article in Biology of sex differences, 2024. 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
3.3field-weighted citation impact, top 8% of its field
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, 6 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Abhinav Parivesh *Center for Genetic Medicine Research, Children's National Hospital, Washington D.C., 20010, USA.
Emmanuèle Délot *Center for Genetic Medicine Research, Children's National Hospital, Washington D.C., 20010, USA.
Alejandra ReyesCentre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Melbourne, VIC, 3168, Australia.
Janelle RyanCentre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Melbourne, VIC, 3168, Australia.
Surajit BhattacharyaCenter for Genetic Medicine Research, Children's National Hospital, Washington D.C., 20010, USA.
Vincent HarleyCentre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Melbourne, VIC, 3168, Australia.
Eric VilainInstitute for Clinical and Translational Science, University of California, Irvine, CA, USA. evilain@hs.uci.edu.ORCID 0000-0002-5557-3709
Children's National · USHudson Institute of Medical Research · AUUniversity of California, Irvine · US

Funding

Disorders/Differences of Sex Development (DSD) - Translational Research NetworkR01HD093450 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SANDBERG, DAVID ERIC, VILAIN, ERIC J. · 2018 to 2022
$3.9M
Children's National Hospital Core fundingNational Health and Medical Research Council 2002426National Health and Medical Research Council APP1154870National Institute of Child Health and Human Development Disorders/Differences of Sex Development (DSD) - Translational Research Network (R01HD093450)NICHD NIH HHS R01 HD093450
6 · The paper itself

Abstract

backgroundDisorders/differences of sex development (DSD) are congenital conditions in which the development of chromosomal, gonadal, or anatomical sex is atypical. With overlapping phenotypes and multiple genes involved, poor diagnostic yields are achieved for many of these conditions. The current DSD diagnostic regimen can be augmented by investigating transcriptome/proteome in vivo, but it is hampered by the unavailability of affected gonadal tissue at the relevant developmental stage. We try to mitigate this limitation by reprogramming readily available skin tissue-derived dermal fibroblasts into Sertoli cells (SC), which could then be deployed for different diagnostic strategies. SCs form the target cell type of choice because they act like an organizing center of embryonic gonadal development and many DSD arise when these developmental processes go awry.

methodsWe employed a computational predictive algorithm for cell conversions called Mogrify to predict the transcription factors (TFs) required for direct reprogramming of human dermal fibroblasts into SCs. We established trans-differentiation culture conditions where stable transgenic expression of these TFs was achieved in 46, XY adult dermal fibroblasts using lentiviral vectors. The resulting Sertoli like cells (SLCs) were validated for SC phenotype using several approaches.

resultsSLCs exhibited Sertoli-like morphological and cellular properties as revealed by morphometry and xCelligence cell behavior assays. They also showed Sertoli-specific expression of molecular markers such as SOX9, PTGDS, BMP4, or DMRT1 as revealed by IF imaging, RNAseq and qPCR. The SLC transcriptome shared about two thirds of its differentially expressed genes with a human adult SC transcriptome and expressed markers typical of embryonic SCs. Notably, SLCs lacked expression of most markers of other gonadal cell types such as Leydig, germ, peritubular myoid or granulosa cells.

conclusionsThe trans-differentiation method was applied to a variety of commercially available 46, XY fibroblasts derived from patients with DSD and to a 46, XX cell line. The DSD SLCs displayed altered levels of trans-differentiation in comparison to normal 46, XY-derived SLCs, thus showcasing the robustness of this new trans-differentiation model. Future applications could include using the SLCs to improve definitive diagnosis of DSD in patients with variants of unknown significance.

Indexed as

GonadsSertoli CellsAdultCell DifferentiationFemaleHumansMaleTranscriptome

Identifiers

PMID38520033
PMCPMC10958866
OpenAlexW4393089312

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LicenceCC BY
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Registered trials

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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.