Evidence map›Paper›PMID 34731600›Full record

ArticleCell reports2021

Dissecting mammalian spermatogenesis using spatial transcriptomics.

Haiqi Chen, Evan Murray, Anubhav Sinha, Anisha Laumas, Jilong Li, Daniel Lesman, Xichen Nie, Jim Hotaling, Jingtao Guo, Bradley R Cairns and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 2 pooled it
6.7field-weighted citation impact, top 2% 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

81 citing papers in PubMed, 2 syntheses or guidelines pooled it, 124 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

21 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 1 country.

Haiqi ChenThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Electronic address: haiqi@broadinstitute.org.
Evan MurrayThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Anubhav SinhaThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute, MIT, Cambridge, MA 02139, USA; Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA 02142, USA.
Anisha LaumasHarvard University, Cambridge, MA 02138, USA.
Jilong LiThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Daniel LesmanThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Xichen NieDepartment of Oncological Sciences and Huntsman Cancer Institute, Howard Hughes Medical Institute, University of Utah School of Medicine, Salt Lake City, UT 84112, USA.
Jim HotalingDepartment of Oncological Sciences and Huntsman Cancer Institute, Howard Hughes Medical Institute, University of Utah School of Medicine, Salt Lake City, UT 84112, USA.
Jingtao GuoDepartment of Oncological Sciences and Huntsman Cancer Institute, Howard Hughes Medical Institute, University of Utah School of Medicine, Salt Lake City, UT 84112, USA.
Bradley R CairnsDepartment of Oncological Sciences and Huntsman Cancer Institute, Howard Hughes Medical Institute, University of Utah School of Medicine, Salt Lake City, UT 84112, USA.
Evan Z MacoskoThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA.
C Yan ChengThe Mary M. Wohlford Laboratory for Male Contraceptive Research, Center for Biomedical Research, Population Council, New York, NY, 10065, USA.
Fei ChenThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA. Electronic address: chenf@broadinstitute.org.
Broad Institute · USHoward Hughes Medical Institute · USHarvard University Press · USPopulation Council · US

Funding

COVID19 Slide-seqR01HG010647 · NHGRI · BROAD INSTITUTE, INC. · PI Fei Chen, Evan Z Macosko · 2019 to 2026
$6.0M
Neuroimaging Training ProgramT32EB001680 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BRUCE R ROSEN · 2003 to 2026
$3.8M
The biology of blood-testis barrier dynamicsR01HD056034 · NICHD · POPULATION COUNCIL · PI CHENG, C. YAN · 2009 to 2018
$3.4M
Slide-seq: high-resolution in situ expression profiling for neuropathologyDP2AG058488 · NIA · BROAD INSTITUTE, INC. · PI MACOSKO, EVAN Z · 2017 to 2017
$2.7M
Characterizing glioma heterogeneity with novel multiplexed nanoscale imaging technologiesDP5OD024583 · OD · BROAD INSTITUTE, INC. · PI CHEN, FEI · 2017 to 2021
$2.2M
Molecular, Epigenetic and Genomic Approaches to Understand Mechanisms of Aging in the Human TestisR01AG069725 · NIA · UNIVERSITY OF UTAH · PI CAIRNS, BRADLEY R. · 2020 to 2024
$1.9M
NHGRI NIH HHS R01 HG010647NIA NIH HHS DP2 AG058488NIA NIH HHS R01 AG069725NIBIB NIH HHS T32 EB001680NICHD NIH HHS R01 HD056034NIH HHS DP5 OD024583
6 · The paper itself

Abstract

Single-cell RNA sequencing has revealed extensive molecular diversity in gene programs governing mammalian spermatogenesis but fails to delineate their dynamics in the native context of seminiferous tubules, the spatially confined functional units of spermatogenesis. Here, we use Slide-seq, a spatial transcriptomics technology, to generate an atlas that captures the spatial gene expression patterns at near-single-cell resolution in the mouse and human testis. Using Slide-seq data, we devise a computational framework that accurately localizes testicular cell types in individual seminiferous tubules. Unbiased analysis systematically identifies spatially patterned genes and gene programs. Combining Slide-seq with targeted in situ RNA sequencing, we demonstrate significant differences in the cellular compositions of spermatogonial microenvironment between mouse and human testes. Finally, a comparison of the spatial atlas generated from the wild-type and diabetic mouse testis reveals a disruption in the spatial cellular organization of seminiferous tubules as a potential mechanism of diabetes-induced male infertility.

Indexed as

Gene Expression ProfilingTranscriptomeAlgorithmsAnimalsCellular MicroenvironmentDatabases, GeneticDiabetes MellitusDisease Models, AnimalGene Expression Regulation, DevelopmentalHumansInfertility, MaleMaleMiceMice, Inbred C57BLMicroscopy, ConfocalRNA-Seq

Identifiers

PMID34731600
PMCPMC8606188
OpenAlexW3211114294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.