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

Neutrophils are the most abundant type of white blood cells in humans with biological roles relevant to inflammation, and fighting off infections. Neutrophil Extracellular Traps (NETs) act as enxogenous agents controlling invasion by bacteria, viruses, fungi, metabolic, and traumatic agents. Traditi...

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Autores principales: Scieszka, David, Lin, Yi-Han, Li, Weizhong, Choudhury, Saibyasachi, Yu, Yanbao, Freire, Marcelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668915/
https://www.ncbi.nlm.nih.gov/pubmed/36385149
http://dx.doi.org/10.1038/s41597-022-01798-1
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author Scieszka, David
Lin, Yi-Han
Li, Weizhong
Choudhury, Saibyasachi
Yu, Yanbao
Freire, Marcelo
author_facet Scieszka, David
Lin, Yi-Han
Li, Weizhong
Choudhury, Saibyasachi
Yu, Yanbao
Freire, Marcelo
author_sort Scieszka, David
collection PubMed
description Neutrophils are the most abundant type of white blood cells in humans with biological roles relevant to inflammation, and fighting off infections. Neutrophil Extracellular Traps (NETs) act as enxogenous agents controlling invasion by bacteria, viruses, fungi, metabolic, and traumatic agents. Traditionally, studies have focused on elucidating molecular and cellular pathways preceding NET formation. Here, we developed a model to decode the human genome and proteome of developted NETs. Via in vitro system to differentiate HL-60 human myeloid cell line into neutrophil extracellular trap (ecTrap) producing cells, we isolated and captured ectrap derived DNA and proteins for shotgun sequencing. The genomic sequences revealed accurate delineation of gene composition including immune response genes and mitochondrial enrichment, while providing a reference database for future interrogation. Shotgun proteomics showed global proteins in differentiated cells with specific immune pathways when compared to undifferentiated counterparts. Coupled with omics’ approaches, we validated our system by functional assays and began to dissect host-microbial interactions. Our work provides a new understanding of the genomic and proteomic sequences, establishing the first human database deposition of neutrophil extracellular traps.
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spelling pubmed-96689152022-11-18 NETome: A model to Decode the Human Genome and Proteome of Neutrophil Extracellular Traps Scieszka, David Lin, Yi-Han Li, Weizhong Choudhury, Saibyasachi Yu, Yanbao Freire, Marcelo Sci Data Data Descriptor Neutrophils are the most abundant type of white blood cells in humans with biological roles relevant to inflammation, and fighting off infections. Neutrophil Extracellular Traps (NETs) act as enxogenous agents controlling invasion by bacteria, viruses, fungi, metabolic, and traumatic agents. Traditionally, studies have focused on elucidating molecular and cellular pathways preceding NET formation. Here, we developed a model to decode the human genome and proteome of developted NETs. Via in vitro system to differentiate HL-60 human myeloid cell line into neutrophil extracellular trap (ecTrap) producing cells, we isolated and captured ectrap derived DNA and proteins for shotgun sequencing. The genomic sequences revealed accurate delineation of gene composition including immune response genes and mitochondrial enrichment, while providing a reference database for future interrogation. Shotgun proteomics showed global proteins in differentiated cells with specific immune pathways when compared to undifferentiated counterparts. Coupled with omics’ approaches, we validated our system by functional assays and began to dissect host-microbial interactions. Our work provides a new understanding of the genomic and proteomic sequences, establishing the first human database deposition of neutrophil extracellular traps. Nature Publishing Group UK 2022-11-16 /pmc/articles/PMC9668915/ /pubmed/36385149 http://dx.doi.org/10.1038/s41597-022-01798-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Scieszka, David
Lin, Yi-Han
Li, Weizhong
Choudhury, Saibyasachi
Yu, Yanbao
Freire, Marcelo
NETome: A model to Decode the Human Genome and Proteome of Neutrophil Extracellular Traps
title NETome: A model to Decode the Human Genome and Proteome of Neutrophil Extracellular Traps
title_full NETome: A model to Decode the Human Genome and Proteome of Neutrophil Extracellular Traps
title_fullStr NETome: A model to Decode the Human Genome and Proteome of Neutrophil Extracellular Traps
title_full_unstemmed NETome: A model to Decode the Human Genome and Proteome of Neutrophil Extracellular Traps
title_short NETome: A model to Decode the Human Genome and Proteome of Neutrophil Extracellular Traps
title_sort netome: a model to decode the human genome and proteome of neutrophil extracellular traps
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668915/
https://www.ncbi.nlm.nih.gov/pubmed/36385149
http://dx.doi.org/10.1038/s41597-022-01798-1
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