NETome: A model to Decode the Human Genome and Proteome of Neutrophil Extracellular Traps

David Scieszka; Yi-Han Lin; Weizhong Li; Saibyasachi Choudhury; Yanbao Yu; Marcelo Freire

doi:10.1038/s41597-022-01798-1

Scientific Data (Nov 2022)

NETome: A model to Decode the Human Genome and Proteome of Neutrophil Extracellular Traps

David Scieszka,
Yi-Han Lin,
Weizhong Li,
Saibyasachi Choudhury,
Yanbao Yu,
Marcelo Freire

Affiliations

David Scieszka: Department of Genomic Medicine and Infectious Diseases, J. Craig Venter Institute
Yi-Han Lin: Department of Infectious Diseases, J. Craig Venter Institute
Weizhong Li: Department of Genomic Medicine and Infectious Diseases, J. Craig Venter Institute
Saibyasachi Choudhury: Department of Genomic Medicine and Infectious Diseases, J. Craig Venter Institute
Yanbao Yu: Department of Infectious Diseases, J. Craig Venter Institute
Marcelo Freire: Department of Genomic Medicine and Infectious Diseases, J. Craig Venter Institute

DOI: https://doi.org/10.1038/s41597-022-01798-1
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 12

Abstract

Read online

Measurement(s) Genome Sequence Reads • Protein Abundance Technology Type(s) Illuminia • liquid chromatography-tandem mass spectrometry Factor Type(s) Neutrophil extracellular trap genome sequence • Neutrophil extracellular trap protein abundance Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment cell culture

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

About the journal