HCA Data Explorer

Single-Cell Transcriptomic Analysis Identifies a Unique Pulmonary Lymphangioleiomyomatosis Cell

Updated November 21, 2023

Lymphangioleiomyomatosis (LAM) is a metastasizing neoplasm of reproductive age women which causes cystic lung remodeling and progressive respiratory failure. While LAM lesions are known to contain abnormal smooth muscle-like cells which harbor mTOR activating mutations in TSC1 or TSC2, the tissue origins of the mutant “LAM cells” that invade the lung remain unclear. By employing single cell and single nuclear RNA sequencing on explanted LAM lungs, we identified a unique population of cells and associated signature genes and gene networks which were readily distinguished from those of endogenous lung cells. These unique LAMCORE cells shared closest transcriptomic similarity to normal uterus and share transcriptomic features with neural crest, as identified in uterine LAM lesions by single nuclear RNA-seq. Immunofluorescence microscopy demonstrated the expression of LAMCORE cell signature genes within LAM lesions in both lung and uterus. Serum aptamer proteomics and ELISA identified biomarkers consistent with the signature genes expressed and predicted to be secreted by LAMCORE cells. Single cell transcriptomics strongly supports a uterine neural crest origin of LAMCORE cells; providing insights into disease pathogenesis and informing future treatment strategies for LAM. Overall design: scRNA-seq and snRNA-seq was performed using the 10x Chromium platform on four lung explants from LAM patients undergoing lung transplantation. We also performed scRNA-seq on a renal AML resected from a patient with a sporadic AML (S-AML), and snRNA-seq on uterine tissue obtained at hysterectomy from an S-LAM patient. As controls, we conducted scRNA-seq on a 31 years old female explanted lung, brain dead, beating-heart, organ donor and snRNA-seq on one normal uterine tissue at hysterectomy from a 29 years old female patient with cervical cancer, and obtained scRNA-seq data of six additional female donor lungs from Gene Expression Omnibus (GSE122960) and scRNA-seq data from normal mouse uterus (GSE118180). qRT-PCR, immunofluorescence and immunochemical stains to validate the spatial relationships of LAM cells and LAMCORE signature genes.Serum aptamer proteomics and ELISA assays screening were used for validation of secretome predictions.

Francis X McCormackDivision of Pulmonary, Critical Care and Sleep Medicine.mccormfx@ucmail.uc.edu
Minzhe Guo1
Jane J Yu2
Anne Karina Perl1
Kathryn A Wikenheiser-Brokamp1
Matt Riccetti1
Erik Y Zhang2
Parvathi Sudha1
Mike Adam3
Andrew Potter3
Elizabeth J Kopras2
Krinio Giannikou4
S Steven Potter3
Sue Sherman5
Stephen R Hammes6
David J Kwiatkowski4
Jeffrey A Whitsett1
Francis X McCormack2
Yan Xu1
1The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology.
2Division of Pulmonary, Critical Care and Sleep Medicine.
3Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
4Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
5The LAM Foundation, Cincinnati, Ohio.
6Division of Endocrinology and Metabolism, University of Rochester, Rochester, New York.
Anu Shivalikanjli

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/65cbfea5-5c54-4255-a1d0-14549a86a5c1
None
GEO Series Accessions:INSDC Study Accessions:INSDC Project Accessions:

Atlas

LungLung v1.0

Analysis Portals

None

Project Label

McCormack-Human-10x3pv2

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

3 anatomical entities

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

3 disease statuses

Disease Status (Donor)

4 disease statuses

Development Stage

human adult stage

Library Construction Method

3 library construction methods

Nucleic Acid Source

2 nucleic acid sources

Paired End

true

Analysis Protocol

analysis_quant_raw_scrna, analysis_quant_raw_snrna

File Format

4 file formats

Cell Count Estimate

22.0k

Donor Count

8
fastq.gz48 file(s)mtx8 file(s)tsv16 file(s)xlsx1 file(s)