Work

Cellular and molecular heterogeneities and signatures, and pathological trajectories of fatal COVID-19 lungs defined by spatial single-cell transcriptome analysis

Year: 2023

Type: dataset

Abstract: Spatial in-situ data analysis.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7636103

Authors: Das, Arun, Liu, Zhentao, Hasib, Md Musaddaqul, Galloway, Hugh, Huang, Yufei, Gao, Shou-Jiang, Wen, Meng, Suzane, Ramos da Silva, Luping, Chen, Gabriel, L Sica, Alberto, Paniz-Mondolfi, Clare, Bryce, Zachary, Grimes, Emilia, Mia Sordillo, Carlos, Cordon-Cardo, Karla, Paniagua Rivera, Mario, Flores, Chiu, Yu-Chiao

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4393585644

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