Single-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes

Since the time when detection of gene expression in single cells by microarrays to the Next Generation Sequencing (NGS) enabled Single Cell Genomics (SCG), it has played a pivotal role to understand and elucidate the functional role of cellular heterogeneity. Along this journey to becoming a key pla...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Shweta Sahni, Partha Chattopadhyay, Kriti Khare, Rajesh Pandey
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
NGS
R
Acceso en línea:https://doaj.org/article/934d87daee5e4f32831870731b60b31d
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:934d87daee5e4f32831870731b60b31d
record_format dspace
spelling oai:doaj.org-article:934d87daee5e4f32831870731b60b31d2021-11-25T18:38:28ZSingle-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes10.3390/pathogens101114672076-0817https://doaj.org/article/934d87daee5e4f32831870731b60b31d2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-0817/10/11/1467https://doaj.org/toc/2076-0817Since the time when detection of gene expression in single cells by microarrays to the Next Generation Sequencing (NGS) enabled Single Cell Genomics (SCG), it has played a pivotal role to understand and elucidate the functional role of cellular heterogeneity. Along this journey to becoming a key player in the capture of the individuality of cells, SCG overcame many milestones, including scale, speed, sensitivity and sample costs (4S). There have been many important experimental and computational innovations in the efficient analysis and interpretation of SCG data. The increasing role of AI in SCG data analysis has further enhanced its applicability in building models for clinical intervention. Furthermore, SCG has been instrumental in the delineation of the role of cellular heterogeneity in specific diseases, including cancer and infectious diseases. The understanding of the role of differential immune responses in driving coronavirus disease-2019 (COVID-19) disease severity and clinical outcomes has been greatly aided by SCG. With many variants of concern (VOC) in sight, it would be of great importance to further understand the immune response specificity <i>vis-a-vis</i> the immune cell repertoire, the identification of novel cell types, and antibody response. Given the potential of SCG to play an integral part in the multi-omics approach to the study of the host–pathogen interaction and its outcomes, our review attempts to highlight its strengths, its implications for infectious disease biology, and its current limitations. We conclude that the application of SCG would be a critical step towards future pandemic preparedness.Shweta SahniPartha ChattopadhyayKriti KhareRajesh PandeyMDPI AGarticleSingle Cell Genomics (SCG)NGScellular heterogeneityinfectious diseasesimmune responsehost-pathogen interactionMedicineRENPathogens, Vol 10, Iss 1467, p 1467 (2021)
institution DOAJ
collection DOAJ
language EN
topic Single Cell Genomics (SCG)
NGS
cellular heterogeneity
infectious diseases
immune response
host-pathogen interaction
Medicine
R
spellingShingle Single Cell Genomics (SCG)
NGS
cellular heterogeneity
infectious diseases
immune response
host-pathogen interaction
Medicine
R
Shweta Sahni
Partha Chattopadhyay
Kriti Khare
Rajesh Pandey
Single-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes
description Since the time when detection of gene expression in single cells by microarrays to the Next Generation Sequencing (NGS) enabled Single Cell Genomics (SCG), it has played a pivotal role to understand and elucidate the functional role of cellular heterogeneity. Along this journey to becoming a key player in the capture of the individuality of cells, SCG overcame many milestones, including scale, speed, sensitivity and sample costs (4S). There have been many important experimental and computational innovations in the efficient analysis and interpretation of SCG data. The increasing role of AI in SCG data analysis has further enhanced its applicability in building models for clinical intervention. Furthermore, SCG has been instrumental in the delineation of the role of cellular heterogeneity in specific diseases, including cancer and infectious diseases. The understanding of the role of differential immune responses in driving coronavirus disease-2019 (COVID-19) disease severity and clinical outcomes has been greatly aided by SCG. With many variants of concern (VOC) in sight, it would be of great importance to further understand the immune response specificity <i>vis-a-vis</i> the immune cell repertoire, the identification of novel cell types, and antibody response. Given the potential of SCG to play an integral part in the multi-omics approach to the study of the host–pathogen interaction and its outcomes, our review attempts to highlight its strengths, its implications for infectious disease biology, and its current limitations. We conclude that the application of SCG would be a critical step towards future pandemic preparedness.
format article
author Shweta Sahni
Partha Chattopadhyay
Kriti Khare
Rajesh Pandey
author_facet Shweta Sahni
Partha Chattopadhyay
Kriti Khare
Rajesh Pandey
author_sort Shweta Sahni
title Single-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes
title_short Single-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes
title_full Single-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes
title_fullStr Single-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes
title_full_unstemmed Single-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes
title_sort single-cell genomics: enabling the functional elucidation of infectious diseases in multi-cell genomes
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/934d87daee5e4f32831870731b60b31d
work_keys_str_mv AT shwetasahni singlecellgenomicsenablingthefunctionalelucidationofinfectiousdiseasesinmulticellgenomes
AT parthachattopadhyay singlecellgenomicsenablingthefunctionalelucidationofinfectiousdiseasesinmulticellgenomes
AT kritikhare singlecellgenomicsenablingthefunctionalelucidationofinfectiousdiseasesinmulticellgenomes
AT rajeshpandey singlecellgenomicsenablingthefunctionalelucidationofinfectiousdiseasesinmulticellgenomes
_version_ 1718410904389812224