HCA Data Explorer

Single nucleus transcriptome and chromatin accessibility of postmortem human pituitaries reveal diverse stem cell regulatory mechanisms

Updated September 4, 2023

Despite their importance in tissue homeostasis and renewal, human pituitary stem cells (PSCs) are incompletely characterized. We describe a human single nucleus RNA-seq and ATAC-seq resource from pediatric, adult, and aged postmortem pituitaries (snpituitaryatlas.princeton.edu) and characterize cell-type-specific gene expression and chromatin accessibility programs for all major pituitary cell lineages. We identify uncommitted PSCs, committing progenitor cells, and sex differences. Pseudotime trajectory analysis indicates that early-life PSCs are distinct from the other age groups. Linear modeling of same-cell multiome data identifies regulatory domain accessibility sites and transcription factors that are significantly associated with gene expression in PSCs compared with other cell types and within PSCs. We identify distinct deterministic mechanisms that contribute to heterogeneous marker expression within PSCs. These findings characterize human stem cell lineages and reveal diverse mechanisms regulating key PSC genes and cell type identity.

Cynthia L AndoniadouCenter for Craniofacial and Regenerative Biology, King's College London, London, UK; Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germanycynthia.andoniadou@kcl.ac.uk
Stuart C SealfonDepartment of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USAstuart.sealfon@mssm.edu
Frederique Ruf-ZamojskiDepartment of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USAfrederique.ruf-zamojski@mssm.edu
Zidong Zhang1
Michel Zamojski2
Gregory R Smith2
Thea L Willis3
Val Yianni3
Natalia Mendelev2
Hanna Pincas2
Nitish Seenarine2
Mary Anne S Amper2
Mital Vasoya2
Wan Sze Cheng2
Elena Zaslavsky2
Venugopalan D Nair2
Judith L Turgeon4
Daniel J Bernard5
Olga G Troyanskaya6
Cynthia L Andoniadou7
Stuart C Sealfon8
Frederique Ruf-Zamojski8
1Lewis-Sigler Institute for Integrative Genomics and Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA.
2Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA.
3Center for Craniofacial and Regenerative Biology, King's College London, London, UK.
4Department of Internal Medicine, University of California, Davis, Davis, CA, USA.
5Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, H3G 1Y6, Canada.
6Lewis-Sigler Institute for Integrative Genomics and Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA; Department of Computer Science, Princeton University, Princeton, NJ, USA; Flatiron Institute, Simons Foundation, New York, NY, USA.
7Center for Craniofacial and Regenerative Biology, King's College London, London, UK; Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
8Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/48f60534-ba4e-45bc-aa5b-6d3a6c45962e

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.http://snpituitaryatlas.princeton.edu/
INSDC Project Accessions:
SRP324613, SRP324614, SRP324615
GEO Series Accessions:INSDC Study Accessions:

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Analysis Portals

None

Project Label

PituitariesStemCellRegulation

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

pituitary gland

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

normal

Disease Status (Donor)

3 disease statuses

Development Stage

3 development stages

Library Construction Method

3 library construction methods

Nucleic Acid Source

single nucleus

Paired End

false, true

Analysis Protocol

matrix_generation_ATACseq, matrix_generation_RNAseq, matrix_generation_multiome

File Format

5 file formats

Cell Count Estimate

135.2k

Donor Count

6
csv.gz7 file(s)fastq.gz98 file(s)h5.gz15 file(s)tsv.gz8 file(s)xlsx1 file(s)