Application of single-cell genomics in cancer: promise and challenges.
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 f...
| Auteurs principaux: | , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
Oxford University Press
2015
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| _version_ | 1826305758468243456 |
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| author | Wills, Q Mead, A |
| author_facet | Wills, Q Mead, A |
| author_sort | Wills, Q |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T06:37:42Z |
| format | Journal article |
| id | oxford-uuid:f8391bf0-e2c0-47ca-a185-09ee03068211 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:37:42Z |
| publishDate | 2015 |
| publisher | Oxford University Press |
| record_format | dspace |
| spelling | oxford-uuid:f8391bf0-e2c0-47ca-a185-09ee030682112022-03-27T12:48:39ZApplication of single-cell genomics in cancer: promise and challenges.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f8391bf0-e2c0-47ca-a185-09ee03068211EnglishSymplectic Elements at OxfordOxford University Press2015Wills, QMead, ARecent 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. |
| spellingShingle | Wills, Q Mead, A Application of single-cell genomics in cancer: promise and challenges. |
| title | Application of single-cell genomics in cancer: promise and challenges. |
| title_full | Application of single-cell genomics in cancer: promise and challenges. |
| title_fullStr | Application of single-cell genomics in cancer: promise and challenges. |
| title_full_unstemmed | Application of single-cell genomics in cancer: promise and challenges. |
| title_short | Application of single-cell genomics in cancer: promise and challenges. |
| title_sort | application of single cell genomics in cancer promise and challenges |
| work_keys_str_mv | AT willsq applicationofsinglecellgenomicsincancerpromiseandchallenges AT meada applicationofsinglecellgenomicsincancerpromiseandchallenges |