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10.1093/hmg/ddv235 http://scihub22266oqcxt.onion/10.1093/hmg/ddv235 C4571998!4571998!26113645     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Hum+Mol+Genet 2015 ; 24 (R1): R74-84 Nephropedia Template TP {{tp|p=26113645|t=2015. Application of single-cell genomics in cancer: promise and challenges |pdf=|usr=}}{{26113645}} gab.com Text Application of single-cell genomics in cancer: promise and challenges JO: Hum Mol Genet http://www.kidney.de/pget.php?&tw=1&pmid=26113645 #FOAvip Recent advances in single-cell genomics are opening up unprecedented opportunities to transform cancer genomics. While bulk tissue genomic analysis across large populations of tumour cells has provided key insights into cancer biology, this approach does not provide the resolution that is critical for understanding the interaction between different genetic events within the cellular hierarchy of the tumour during disease initiation, evolution, relapse and metastasis. Single-cell genomic approaches are uniquely placed to definitively unravel complex clonal structures and tissue hierarchies, account for spatiotemporal cell interactions and discover rare cells that drive metastatic disease, drug resistance and disease progression. Here we present five challenges that need to be met for single-cell genomics to fulfil its potential as a routine tool alongside bulk sequencing. These might be thought of as being challenges related to samples (processing and scale for analysis), sensitivity and specificity of mutation detection, sources of heterogeneity (biological and technical), synergies (from data integration) and systems modelling. We discuss these in the context of recent advances in technologies and data modelling, concluding with implications for moving cancer research into the clinic. Twit Text FOAVip Application of single-cell genomics in cancer: promise and challenges ????Hum Mol Genet http://www.kidney.de/pget.php?&tw=1&pmid=26113645 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26113645 #FOAvip English Wikipedia <ref>{{Cite pmid|26113645}}</ref> Application of single-cell genomics in cancer: promise and challenges #MMPMID26113645 Wills QF; Mead AJ Hum Mol Genet 2015[Oct]; 24 (R1): R74-84 PMID26113645show ga Recent advances in single-cell genomics are opening up unprecedented opportunities to transform cancer genomics. While bulk tissue genomic analysis across large populations of tumour cells has provided key insights into cancer biology, this approach does not provide the resolution that is critical for understanding the interaction between different genetic events within the cellular hierarchy of the tumour during disease initiation, evolution, relapse and metastasis. Single-cell genomic approaches are uniquely placed to definitively unravel complex clonal structures and tissue hierarchies, account for spatiotemporal cell interactions and discover rare cells that drive metastatic disease, drug resistance and disease progression. Here we present five challenges that need to be met for single-cell genomics to fulfil its potential as a routine tool alongside bulk sequencing. These might be thought of as being challenges related to samples (processing and scale for analysis), sensitivity and specificity of mutation detection, sources of heterogeneity (biological and technical), synergies (from data integration) and systems modelling. We discuss these in the context of recent advances in technologies and data modelling, concluding with implications for moving cancer research into the clinic. äApplication of single-cell genomics in cancer: promise and challenges (epmc).pdf DeepDyve Pubget Overpricing