LungMAP Data Explorer

Human Lung Reference Cell Atlas version 1.0

Updated March 10, 2023

Accurate cell type identification is a key and rate-limiting step in single cell data analysis. Single cell references with comprehensive cell types, reproducible and functional validated cell identities, and common nomenclatures are much needed by the research community to optimize automated cell type annotation and facilitate data integration, sharing, and collaboration. In the present study, we developed a novel computational pipeline to utilize the LungMAP CellCards as a dictionary to consolidate single-cell transcriptomic datasets of 104 human lungs and 17 mouse lung samples to construct “LungMAP CellRef” and “LungMAP CellRef Seed” for both normal human and mouse lungs. “CellRef Seed” has an equivalent prediction power and produces consistent cell annotations to “CellRef” but improves computational efficiency and simplifies its utilization for fast automated cell type annotation and online visualization. These atlases incorporate 48 human and 40 mouse well-defined lung cell types catalogued from diverse anatomic locations and developmental time points. Using total of 20 testing data from five independent studies, we demonstrated the utility of our CellRefs for automated cell type annotation analysis of both normal and disease lungs. User-friendly web interfaces were developed to support easy access and maximal utilization of the LungMAP CellRefs. LungMAP CellRefs are freely available to the pulmonary research community through fast interactive web interfaces to facilitate hypothesis generation, research discovery, and identification of cell type alterations in disease conditions.

Minzhe GuoCincinnati Children's Hospital Medical Centerminzhe.guo@cchmc.org
Yan XuCincinnati Children's Hospital Medical Centeryan.xu@cchmc.org
Minzhe Guo (Principle Investigator)1
Yan Xu (Principle Investigator)1
1Cincinnati Children's Hospital Medical Center
None

To reference this project, please use the following link:

https://data-browser.lungmap.net/projects/6135382f-487d-4adb-9cf8-4d6634125b68
None
GEO Series Accessions:
GSE122960, GSE134174, GSE135893, GSE136831, GSE161382, GSE171524

Analysis Portals

None

Project Label

Human Lung Reference Cell Atlas version 1.0

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

2 anatomical entities

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

54 development stages

Library Construction Method

4 library construction methods

Nucleic Acid Source

2 nucleic acid sources

Paired End

false, true

Analysis Protocol

004d1c80-5b66-46f3-b01a-63757d4807ab, 125c0b8b-97c5-4f29-917d-1541a10b24ea, 3e9255fa-5044-4af5-8a59-6976b5ae55ca, 4d7c4cc9-ae6d-4b51-9357-8c8d05f785e6, 51cd5b78-3408-433d-aee8-d48a71daa74d, bdb0d053-c256-433f-8bd1-8127cab8154b, c7f1f1af-8a18-4042-a717-b897a751dc2e, c8b6c040-a5cc-422b-9754-2d5a9c9b1217, ce85dcc7-e3d3-43ce-8ce7-585878ec8199, d818ffdf-fcdb-45f3-946a-fd725c32e6c3, f4275757-aeb2-4726-9251-6ad193c9b78b

File Format

6 file formats

Cell Count Estimate

348.0k

Donor Count

104
csv.gz8 file(s)h535 file(s)h5ad1 file(s)mtx.gz22 file(s)tsv.gz42 file(s)txt.gz17 file(s)