Single-Cell Genomics
Single-cell genomics is an approach to investigate cell heterogeneity and to identify new molecular features correlated with clinical outcomes. This approach allows identification of the complexity of cell diversity in a sample without the loss of information that occurs when multicellular or bulk t...
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| Veröffentlicht in: | Clinical chemistry (Baltimore, Md.) Md.), 2019-08, Vol.65 (8), p.972-985 |
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| container_title | Clinical chemistry (Baltimore, Md.) |
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| creator | Paolillo, Carmela Londin, Eric Fortina, Paolo |
| description | Single-cell genomics is an approach to investigate cell heterogeneity and to identify new molecular features correlated with clinical outcomes. This approach allows identification of the complexity of cell diversity in a sample without the loss of information that occurs when multicellular or bulk tissue samples are analyzed.
The first single-cell RNA-sequencing study was published in 2009, and since then many more studies and single-cell sequencing methods have been published. These studies have had a major impact on several fields, including microbiology, neurobiology, cancer, and developmental biology. Recently, improvements in reliability and the development of commercial single-cell isolation platforms are opening the potential of this technology to the clinical laboratory.
In this review we provide an overview of the current state of single-cell genomics. We describe opportunities in clinical research and medical applications. |
| doi_str_mv | 10.1373/clinchem.2017.283895 |
| format | Article |
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The first single-cell RNA-sequencing study was published in 2009, and since then many more studies and single-cell sequencing methods have been published. These studies have had a major impact on several fields, including microbiology, neurobiology, cancer, and developmental biology. Recently, improvements in reliability and the development of commercial single-cell isolation platforms are opening the potential of this technology to the clinical laboratory.
In this review we provide an overview of the current state of single-cell genomics. We describe opportunities in clinical research and medical applications.</description><identifier>ISSN: 0009-9147</identifier><identifier>EISSN: 1530-8561</identifier><identifier>DOI: 10.1373/clinchem.2017.283895</identifier><identifier>PMID: 30872376</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Alzheimer's disease ; Antigens ; Biology ; Cancer ; Cell division ; Cell Separation - methods ; Deoxyribonucleic acid ; Developmental biology ; DNA ; Epigenomics ; Evolution ; Gene Amplification ; Gene sequencing ; Genomes ; Genomics ; Genomics - methods ; Heterogeneity ; History, 20th Century ; History, 21st Century ; Humans ; Immunity - genetics ; Medical research ; Metastasis ; Microbiology ; Microbiota - genetics ; Neoplasms - genetics ; Nervous system ; Neurosciences ; Reproducibility of Results ; Ribonucleic acid ; RNA ; RNA polymerase ; Sequence Analysis, RNA - methods ; Single-Cell Analysis - history ; Single-Cell Analysis - methods ; Single-Cell Analysis - trends ; Studies ; Systematic review ; Transcriptome - genetics ; Tumorigenesis ; Tumors</subject><ispartof>Clinical chemistry (Baltimore, Md.), 2019-08, Vol.65 (8), p.972-985</ispartof><rights>2019 American Association for Clinical Chemistry.</rights><rights>Copyright American Association for Clinical Chemistry Aug 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-92342cef61545a7775bac0f7cc2d36725bcbe77a340b860571bd0f8a3b0988423</citedby><cites>FETCH-LOGICAL-c447t-92342cef61545a7775bac0f7cc2d36725bcbe77a340b860571bd0f8a3b0988423</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30872376$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Paolillo, Carmela</creatorcontrib><creatorcontrib>Londin, Eric</creatorcontrib><creatorcontrib>Fortina, Paolo</creatorcontrib><title>Single-Cell Genomics</title><title>Clinical chemistry (Baltimore, Md.)</title><addtitle>Clin Chem</addtitle><description>Single-cell genomics is an approach to investigate cell heterogeneity and to identify new molecular features correlated with clinical outcomes. This approach allows identification of the complexity of cell diversity in a sample without the loss of information that occurs when multicellular or bulk tissue samples are analyzed.
The first single-cell RNA-sequencing study was published in 2009, and since then many more studies and single-cell sequencing methods have been published. These studies have had a major impact on several fields, including microbiology, neurobiology, cancer, and developmental biology. Recently, improvements in reliability and the development of commercial single-cell isolation platforms are opening the potential of this technology to the clinical laboratory.
In this review we provide an overview of the current state of single-cell genomics. We describe opportunities in clinical research and medical applications.</description><subject>Alzheimer's disease</subject><subject>Antigens</subject><subject>Biology</subject><subject>Cancer</subject><subject>Cell division</subject><subject>Cell Separation - methods</subject><subject>Deoxyribonucleic acid</subject><subject>Developmental biology</subject><subject>DNA</subject><subject>Epigenomics</subject><subject>Evolution</subject><subject>Gene Amplification</subject><subject>Gene sequencing</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Genomics - methods</subject><subject>Heterogeneity</subject><subject>History, 20th Century</subject><subject>History, 21st Century</subject><subject>Humans</subject><subject>Immunity - genetics</subject><subject>Medical research</subject><subject>Metastasis</subject><subject>Microbiology</subject><subject>Microbiota - genetics</subject><subject>Neoplasms - genetics</subject><subject>Nervous system</subject><subject>Neurosciences</subject><subject>Reproducibility of Results</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA polymerase</subject><subject>Sequence Analysis, RNA - methods</subject><subject>Single-Cell Analysis - history</subject><subject>Single-Cell Analysis - methods</subject><subject>Single-Cell Analysis - trends</subject><subject>Studies</subject><subject>Systematic review</subject><subject>Transcriptome - genetics</subject><subject>Tumorigenesis</subject><subject>Tumors</subject><issn>0009-9147</issn><issn>1530-8561</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNo9kM1LAzEQxYMotlZvHkUEz7tOMkkme5SiVSh4UM9hk2Z1y37UpHvwv3dLW0-Pgffe8H6M3XDIORI--Kbu_HdocwGccmHQFOqETblCyIzS_JRNAaDICi5pwi5SWo-nJKPP2QTBkEDSU3b9XndfTcjmoWnuFqHr29qnS3ZWlU0KVwedsc_np4_5S7Z8W7zOH5eZl5K2WSFQCh8qzZVUJREpV3qoyHuxQk1COe8CUYkSnNGgiLsVVKZEB4UxUuCM3e97N7H_GULa2nU_xG58aYXQBSoiVKNL7l0-9inFUNlNrNsy_loOdofCHlHYHQq7RzHGbg_lg2vD6j903I5_mQhZCg</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Paolillo, Carmela</creator><creator>Londin, Eric</creator><creator>Fortina, Paolo</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4U-</scope><scope>7QO</scope><scope>7RV</scope><scope>7TM</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>S0X</scope></search><sort><creationdate>20190801</creationdate><title>Single-Cell Genomics</title><author>Paolillo, Carmela ; Londin, Eric ; Fortina, Paolo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-92342cef61545a7775bac0f7cc2d36725bcbe77a340b860571bd0f8a3b0988423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Alzheimer's disease</topic><topic>Antigens</topic><topic>Biology</topic><topic>Cancer</topic><topic>Cell division</topic><topic>Cell Separation - methods</topic><topic>Deoxyribonucleic acid</topic><topic>Developmental biology</topic><topic>DNA</topic><topic>Epigenomics</topic><topic>Evolution</topic><topic>Gene Amplification</topic><topic>Gene sequencing</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Genomics - methods</topic><topic>Heterogeneity</topic><topic>History, 20th Century</topic><topic>History, 21st Century</topic><topic>Humans</topic><topic>Immunity - genetics</topic><topic>Medical research</topic><topic>Metastasis</topic><topic>Microbiology</topic><topic>Microbiota - genetics</topic><topic>Neoplasms - genetics</topic><topic>Nervous system</topic><topic>Neurosciences</topic><topic>Reproducibility of Results</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA polymerase</topic><topic>Sequence Analysis, RNA - methods</topic><topic>Single-Cell Analysis - history</topic><topic>Single-Cell Analysis - methods</topic><topic>Single-Cell Analysis - trends</topic><topic>Studies</topic><topic>Systematic review</topic><topic>Transcriptome - 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This approach allows identification of the complexity of cell diversity in a sample without the loss of information that occurs when multicellular or bulk tissue samples are analyzed.
The first single-cell RNA-sequencing study was published in 2009, and since then many more studies and single-cell sequencing methods have been published. These studies have had a major impact on several fields, including microbiology, neurobiology, cancer, and developmental biology. Recently, improvements in reliability and the development of commercial single-cell isolation platforms are opening the potential of this technology to the clinical laboratory.
In this review we provide an overview of the current state of single-cell genomics. We describe opportunities in clinical research and medical applications.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>30872376</pmid><doi>10.1373/clinchem.2017.283895</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0009-9147 |
| ispartof | Clinical chemistry (Baltimore, Md.), 2019-08, Vol.65 (8), p.972-985 |
| issn | 0009-9147 1530-8561 |
| language | eng |
| recordid | cdi_proquest_journals_2269357735 |
| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE |
| subjects | Alzheimer's disease Antigens Biology Cancer Cell division Cell Separation - methods Deoxyribonucleic acid Developmental biology DNA Epigenomics Evolution Gene Amplification Gene sequencing Genomes Genomics Genomics - methods Heterogeneity History, 20th Century History, 21st Century Humans Immunity - genetics Medical research Metastasis Microbiology Microbiota - genetics Neoplasms - genetics Nervous system Neurosciences Reproducibility of Results Ribonucleic acid RNA RNA polymerase Sequence Analysis, RNA - methods Single-Cell Analysis - history Single-Cell Analysis - methods Single-Cell Analysis - trends Studies Systematic review Transcriptome - genetics Tumorigenesis Tumors |
| title | Single-Cell Genomics |
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