Evidence map›Paper›PMID 27596369›Full record

ArticleStem cells and development2016

Spermatogonial Stem Cells: Implications for Genetic Disorders and Prevention.

Makiko Yamada, Letizia De Chiara, Marco Seandel

Open access · hybridAbstract read
In one paragraph

Article in Stem cells and development, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

3 authors at 1 institution in 1 country.

Makiko YamadaJoan and Sanford I Weill Medical College of Cornell University, 12295, Surgery, New York, New York, United States ; may2015@med.cornell.edu.
Letizia De ChiaraJoan and Sanford I Weill Medical College of Cornell University, 12295, Surgery, New York, New York, United States ; led2014@med.cornell.edu.
Marco SeandelJoan and Sanford I Weill Medical College of Cornell University, 12295, Surgery, New York, New York, United States ; mas9066@med.cornell.edu.
Cornell University · US

Funding

Clonal competition in stem cells as a driver of paternal age effect diseasesDP2HD080352 · NICHD · WEILL MEDICAL COLL OF CORNELL UNIV · PI SEANDEL, MARCO · 2013 to 2013
$2.5M
NICHD NIH HHS DP2 HD080352
6 · The paper itself

Abstract

Spermatogonial stem cells (SSCs) propagate mammalian spermatogenesis throughout male reproductive life by continuously self-renewing and differentiating, ultimately, into sperm. SSCs can be cultured for long periods and restore spermatogenesis upon transplantation back into the native microenvironment in vivo. Conventionally, SSC research has been focused mainly on male infertility and, to a lesser extent, on cell reprogramming. With the advent of genome-wide sequencing technology, however, human studies have uncovered a wide range of pathogenic alleles that arise in the male germline. A subset of de novo point mutations (DNMs) was shown to originate in SSCs and cause congenital disorders in children. This review describes both monogenic diseases (e.g., Apert syndrome) and complex disorders that are either known or suspected to be driven by mutations in SSCs. We propose that SSC culture is a suitable model for studying the origin and mechanisms of these diseases. Lastly, we discuss strategies for future clinical implementation of SSC-based technology, from detecting mutation burden by sperm screening to gene correction in vitro.

Identifiers

PMID27596369
PMCPMC5035912
OpenAlexW2530852769

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.