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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9668915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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