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...
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2021
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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) |
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Single Cell Genomics (SCG) NGS cellular heterogeneity infectious diseases immune response host-pathogen interaction Medicine R |
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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 |
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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 |
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1718410904389812224 |