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Research Paper on The Functional Clarification of Infectious Diseases in Multi-Cell Genomes is Made Possible by Single-Cell Genomics

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Research Paper on The Functional Clarification of Infectious Diseases in Multi-Cell Genomes is Made Possible by Single-Cell Genomics

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Title: The Functional Clarification of Infectious Diseases in Multi-Cell Genomes is Made Possible by Single-Cell Genomics

Abstract: Since the development of Next Generation Sequencing (NGS) enabled Single Cell Genomics (SCG), which allows for the detection of gene expression in single cells, it has been crucial to comprehend and clarify the functional role of cellular heterogeneity. SCG overcame many obstacles, including those related to scale, speed, sensitivity, and sample costs, on the way to becoming a significant player in the capture of the individuality of cells (4S). The effective analysis and interpretation of SCG data has benefited from numerous significant experimental and computational innovations. Building models for clinical intervention has become easier thanks to AI’s expanding role in SCG data analysis. The role of cellular heterogeneity in particular diseases, such as cancer and infectious diseases, has also been defined thanks in large part to SCG. SCG has made significant contributions to our comprehension of the role of differential immune responses in determining the severity of the coronavirus disease-2019 (COVID-19) disease and clinical outcomes. Further understanding of immune response specificity in relation to immune cell repertoire, discovery of novel cell types, and antibody response would be of utmost importance given the abundance of variants of concern (VOC) in the near future. Our review aims to highlight SCG’s benefits, its implications for infectious disease biology, and its current limitations in light of its potential to play a significant role in the multi-omics approach to the study of the host-pathogen interaction and its results. We come to the conclusion that implementing SCG would be a crucial step in becoming pandemic prepared in the future.

Keywords: Single Cell Genomics (SCG); NGS; cellular heterogeneity; infectious diseases; immune response; host-pathogen interaction; AI

Paper Quality: SCOPUS / Web of Science Level Research Paper

Subject: Biology

Writer Experience: 20+ Years

Plagiarism Report: Turnitin Plagiarism Report will be less than 10%

Restriction: Only one author may purchase a single paper. The paper will then indicate that it is out of stock.

What will I get after the purchase?

A turnitin plagiarism report of less than 10% in a pdf file and a full research paper in a word document.

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