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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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Probing infectious disease by single-cell RNA sequencing: Progresses and perspectives.

Geyang Luo1,2, Qian Gao2, Shuye Zhang1

  • 1Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.

Computational and Structural Biotechnology Journal
|October 27, 2020
PubMed
Summary

Single-cell RNA sequencing (scRNA-seq) reveals cellular differences in key biological fields. This review explores scRNA-seq applications in infectious diseases, future challenges, and potential uses.

Keywords:
3C, Chromosome Conformation CaptureACE2, Angiotensin-Converting Enzyme 2ARDS, acute respiratory distress syndromeATAC-seq, Assay for Transposase-Accessible Chromatin using sequencingBCR, B cell receptorCEL-seq, Cell Expression by Linear amplification and SequencingCLU, clusterinCOVID-19, corona virus disease 2019CRISPR, Clustered Regularly Interspaced Short Palindromic RepeatsCytoSeq, gene expression cytometryDENV, dengue virusFACS, fluorescence-activated cell sortingGNLY, granulysinGO analysis, Gene Ontology analysisHIV, Human Immunodeficiency VirusIAV, Influenza A virusIGHV/HD/HJ/HC, Immune globulin heavy V/D/J/C/ regionIGLV/LJ/LC, Immune globulin light V/J/C/ regionILC, Innate Lymphoid CellInfectious diseasesLIGER, Linked Inference of Genomics Experimental RelationshipsMAGIC, Markov Affinity-based Graph Imputation of CellsMARS-seq, Massively parallel single-cell RNA sequencingMATCHER, Manifold Alignment To CHaracterize Experimental RelationshipsMCMV, mouse cytomegalovirusMERFISH, Multiplexed, Error Robust Fluorescent In Situ HybridizationMLV, Moloney Murine Leukemia VirusMOFA, Multi-Omics Factor AnalysisMOI, multiplicity of infectionPBMCs, peripheral blood mononuclear cellsPLAC8, placenta-associated 8SARS-CoV-2, severe acute respiratory syndrome coronavirus 2SAVER, Single-cell Analysis Via Expression RecoverySPLit-seq, split pool ligation-based tranome sequencingSTARTRAC, Single T-cell Analysis by RNA sequencing and TCR TRACkingSTRT-seq, Single-cell Tagged Reverse Transcription sequencingSingle-cell RNA sequencingTCR, T cell receptorTSLP, thymic stromal lymphopoietinUMAP, Uniform Manifold Approximation and ProjectionUMI, Unique Molecular IdentifiermcSCRB-seq, molecular crowding single-cell RNA barcoding and sequencingpDCs, plasmacytoid dendritic cellsscRNA-seq, single cell RNA sequencing technologysci-RNA-seq, single-cell combinatorial indexing RNA sequencingseqFISH, sequential Fluorescent In Situ Hybridizationsmart-seq, switching mechanism at 5′ end of the RNA transcript sequencingt-SNE, t-Distributed stochastic neighbor embedding

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Area of Science:

  • Biomedical research
  • Life sciences
  • Cellular heterogeneity studies

Background:

  • Single-cell RNA sequencing (scRNA-seq) has become a pivotal technology.
  • It significantly enhances understanding of cellular heterogeneity.
  • Applications span immunology, oncology, and developmental biology.

Purpose of the Study:

  • To review the evolution of scRNA-seq technologies.
  • To highlight scRNA-seq applications in infectious diseases.
  • To explore future directions, challenges, and potential of scRNA-seq.

Main Methods:

  • Literature review of scRNA-seq technologies.
  • Analysis of scRNA-seq applications in various research areas.
  • Discussion of current advancements and future prospects.

Main Results:

  • scRNA-seq provides deep insights into cellular diversity.
  • The technology is increasingly applied to study infectious diseases.
  • Significant progress has been made, with ongoing challenges and future potential.

Conclusions:

  • scRNA-seq is a powerful tool for understanding cellular heterogeneity.
  • Its application in infectious diseases is a growing area of research.
  • Continued development will expand its utility in biomedical research.