Evidence map›Paper›PMID 30335147›Full record

ArticleEndocrinology2018

Single-Cell RNA Sequencing Reveals Novel Markers of Male Pituitary Stem Cells and Hormone-Producing Cell Types.

Leonard Y M Cheung, Akima S George, Stacey R McGee, Alexandre Z Daly, Michelle L Brinkmeier, Buffy S Ellsworth, Sally A Camper

Open access · bronzeAbstract read
In one paragraph

Article in Endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

109 citing papers in PubMed, 164 citations in OpenAlex.

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49 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

7 authors at 2 institutions in 1 country.

Leonard Y M CheungDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan.
Akima S GeorgeDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan.
Stacey R McGeeDepartment of Physiology, Southern Illinois University, Carbondale, Illinois.
Alexandre Z DalyDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan.
Michelle L BrinkmeierDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan.
Buffy S EllsworthDepartment of Physiology, Southern Illinois University, Carbondale, Illinois.
Sally A CamperDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan.
University of Michigan · USSouthern Illinois University Carbondale · US

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
PREDOCTORAL TRAINING IN GENETICST32GM007544 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORAN, JOHN V. · 1985 to 2022
$11.3M
CELL-SPECIFIC EXPRESSION IN THE PITUITARY GLANDR01HD034283 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAMPER, SALLY A. · 1996 to 2021
$7.7M
A Panhypopituitary Mouse Mutation - Diversity SupplementR01HD030428 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAMPER, SALLY A. · 1993 to 2016
$2.6M
Hypopituitarism: role of PROP1 and retinoic acid signaling in regulation of pituitary stem cell differentiationR01HD097096 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAMPER, SALLY A. · 2019 to 2023
$2.2M
Mechanism by Which FOXO1 Regulates Somatotrope Differentiation and/or FunctionR15HD078885 · NICHD · SOUTHERN ILLINOIS UNIVERSITY CARBONDALE · PI ELLSWORTH, BUFFY SUE · 2014 to 2014
$443k
NHGRI NIH HHS T32 HG000040NICHD NIH HHS R01 HD030428NICHD NIH HHS R01 HD034283NICHD NIH HHS R01 HD097096NICHD NIH HHS R15 HD078885NIGMS NIH HHS T32 GM007544
6 · The paper itself

Abstract

Transcription factors and signaling pathways that regulate stem cells and specialized hormone-producing cells in the pituitary gland have been the subject of intense study and have yielded a mechanistic understanding of pituitary organogenesis and disease. However, the regulation of stem cell proliferation and differentiation, the heterogeneity among specialized hormone-producing cells, and the role of nonendocrine cells in the gland remain important, unanswered questions. Recent advances in single-cell RNA sequencing (scRNAseq) technologies provide new avenues to address these questions. We performed scRNAseq on ∼13,663 cells pooled from six whole pituitary glands of 7-week-old C57BL/6 male mice. We identified pituitary endocrine and stem cells in silico, as well as other support cell types such as endothelia, connective tissue, and red and white blood cells. Differential gene expression analyses identify known and novel markers of pituitary endocrine and stem cell populations. We demonstrate the value of scRNAseq by in vivo validation of a novel gonadotrope-enriched marker, Foxp2. We present novel scRNAseq data of in vivo pituitary tissue, including data from agnostic clustering algorithms that suggest the presence of a somatotrope subpopulation enriched in sterol/cholesterol synthesis genes. Additionally, we show that incomplete transcriptome annotation can cause false negatives on some scRNAseq platforms that only generate 3' transcript end sequences, and we use in vivo data to recover reads of the pituitary transcription factor Prop1. Ultimately, scRNAseq technologies represent a significant opportunity to address long-standing questions regarding the development and function of the different populations of the pituitary gland throughout life.

Indexed as

AnimalsBiomarkersCell DifferentiationCell SeparationGene Expression RegulationMaleMiceMice, Inbred C57BLOrganogenesisPituitary GlandPituitary HormonesSequence Analysis, RNASingle-Cell AnalysisStem CellsTranscriptomeBiomarkersPituitary Hormones

Identifiers

PMID30335147
PMCPMC6240904
OpenAlexW2897516360

What Socratic holds

Textmetadata
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 Socratic graph.