--- author: - affiliation: - id: https://ror.org/045pn2j94 name: BGI Group (China) contributor_roles: [] family: Edmunds given: Scott url: https://orcid.org/0000-0001-6444-1436 blog: authors: null community_id: 52db0518-e228-4260-8c54-c4e323b2569d created: 1675555200 current_feed_url: null description: Data driven blogging from the GigaScience editors doi: https://doi.org/10.59350/gigablog favicon: https://rogue-scholar.org/api/communities/52db0518-e228-4260-8c54-c4e323b2569d/logo feed_format: application/atom+xml feed_url: http://gigasciencejournal.com/blog/feed/atom/ filter: null generator: Other home_page_url: https://gigasciencejournal.com/blog issn: null language: eng license: https://creativecommons.org/licenses/by/4.0/legalcode prefix: '10.59350' relative_url: null secure: false slug: gigablog status: archived subfield: '1311' title: GigaBlog updated: null use_api: null container: GigaBlog date: '2012-08-16T00:00:00+00:00' date_updated: '2026-08-30T12:01:20+00:00' guid: http://finaloriginalblogs.dev/gigablog/?p=89 identifier: https://doi.org/10.59350/wjyzt-2g831 image: http://gigasciencejournal.com/blog/wp-content/uploads/2012/08/13742_2012_article_12_fig3.jpeg images: - alt: Single Cell Sequencing height: '216' sizes: '(max-width: 346px) 100vw, 346px' src: http://gigasciencejournal.com/blog/wp-content/uploads/2012/08/13742_2012_article_12_fig3.jpeg srcset: http://gigasciencejournal.com/blog/wp-content/uploads/2012/08/13742_2012_article_12_fig3.jpeg, http://gigasciencejournal.com/blog/wp-content/uploads/2012/08/13742_2012_article_12_fig3-300x187.jpeg width: '346' issn: null keywords: - Medicine - Bladder - Cancer - Genomics - GigaScience lang: en license: https://creativecommons.org/licenses/by/4.0/legalcode rid: jk41t-gp270 rights: https://creativecommons.org/licenses/by/4.0/legalcode summary: The precipitous drop in the price of next generation sequencing coupled with its increasing sensitivity has opened up whole new areas of research, one of the most interesting in recent years being the advent of single-cell sequencing. Combining advances in flow-sorting of cells, whole genome amplification and the latest sequencing technologies is now allowing researchers to study tumor evolution on a single-cell level. title: 'New paper in GigaScience: sequencing and the single-cell' url: https://wayback.archive-it.org/22098/2025-05-01T17:13:42Z/http:/gigasciencejournal.com/blog/new-paper-in-gigascience-sequencing-and-the-single-cell version: v1 --- ![Single Cell Sequencing](http://gigasciencejournal.com/blog/wp-content/uploads/2012/08/13742_2012_article_12_fig3.jpeg){.alignleft .wp-image-2800 data-fetchpriority="high" decoding="async" srcset="http://gigasciencejournal.com/blog/wp-content/uploads/2012/08/13742_2012_article_12_fig3.jpeg 434w, http://gigasciencejournal.com/blog/wp-content/uploads/2012/08/13742_2012_article_12_fig3-300x187.jpeg 300w" sizes="(max-width: 346px) 100vw, 346px" width="346" height="216"}The precipitous [drop in the price](http://www.genome.gov/sequencingcosts/ "NHGRI sequencing price graph (bingo!)"){target="_blank" rel="noopener"} of next generation sequencing coupled with its increasing sensitivity has opened up whole new areas of research, one of the most interesting in recent years being the advent of single-cell sequencing. [Combining advances](http://www.nature.com/nature/journal/v472/n7341/full/nature09807.html "Navin SCA Nature paper"){target="_blank" rel="noopener"} in flow-sorting of cells, whole genome amplification and the latest sequencing technologies is now allowing researchers to study tumor evolution on a single-cell level. As cancers develop from a growing mass of mutated heterogeneous cells, this new technique allows novel insight into a cancer\'s developmental history, and importantly for the patient, development of drug resistance. Throwing light on previously unstudied aspects of cancer biology and the huge potential this has for novel and targeted therapies has lead to a huge amount of recent interest, very clearly seen at the recent Biology of Genomes meeting (see [this](http://www.sciencemag.org/content/336/6084/976.full "Science BoG report"){target="_blank" rel="noopener"} write-up in *Science*), and by the NIH planning a [Single Cell Analysis](http://commonfund.nih.gov/singlecell/ "NIH SCA roadmap"){target="_blank" rel="noopener"} roadmap initiative that will spur more researchers to join the field. Being so topical we are pleased this week to [publish](https://doi.org/10.1186/2047-217X-1-12 "GigaScience Bladder cancer paper"){target="_blank" rel="noopener"} our first single-cell analysis study, on single-cell deep exome sequencing of 66 tumor cells from a muscle-invasive bladder transitional cell carcinoma. Following from their recent single-cell studies of [kidney](http://www.cell.com/retrieve/pii/S0092867412002255 "RCC single cell paper"){target="_blank" rel="noopener"} and [bone-marrow](http://www.cell.com/retrieve/pii/S0092867412002280 "Bone marrow tumour paper"){target="_blank" rel="noopener"} cancers published in *Cell*, Yingrui Li and colleagues present a new method for assessing bladder cancer evolution at a cell-population level for our journal, the first time a single-cell genome analysis of bladder cancer has been published. Demonstrating a new method for assessing bladder cancer evolution at a cell-population level, unlike *Cell*, who are one of the [few journals](http://f1000research.com/about/?utm_source=jrnlbtn "F1000 Journal survey on data DOIs"){target="_blank" rel="noopener"} to have raised objections about pre-publication release of citable data, to maximize the reproducibility and reuse of the data in this study immediately after passing peer-review we [published](http://dx.doi.org/10.5524/100037 "DOI for single-cell cancer"){target="_blank" rel="noopener"} 267GB of the supporting data in our [GigaDB](http://gigadb.org/ "GigaDB homepage"){target="_blank" rel="noopener"} database (on top of the raw data submitted to the SRA) via a DOI that was then integrated and cited in the paper. Further promoting transparency all of the peer-reviewed reports are available for view from the [pre-publication history](https://academic.oup.com/gigascience/article/1/1/2047-217X-1-12/2656141#supplementary-data "Pre-publication history"){target="_blank" rel="noopener"} link associated with the article. Following our [launch](http://blogs.biomedcentral.com/gigablog/2012/07/12/gigascience-launches-overseeing-the-transition-from-papers-to-executable-research-objects/ "Launch blog"){target="_blank" rel="noopener"} last month, if you have a similar scale or scope of research you would like us to consider, BGI is generously [covering](http://blogs.biomedcentral.com/gigablog/2011/08/19/papers-papers-papers/ "BGI covering APCs"){target="_blank" rel="noopener"} the open [access article processing charges](http://www.biomedcentral.com/about/apcfaq "APC FAQ"){target="_blank" rel="noopener"} for the journal\'s first year, so please contact us at editorial@gigasciencejournal.com or alternatively submit a manuscript [here](https://www.editorialmanager.com/giga/default.aspx "Submission link"){target="_blank" rel="noopener"}. **Further Reading**\ [1.](https://doi.org/10.1186/2047-217X-1-12 "BCC single cell paper"){target="_blank" rel="noopener"} Li, Y et al., Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer *GigaScience* 2012, **1**:12 The post [New paper in GigaScience: sequencing and the single-cell](http://gigasciencejournal.com/blog/new-paper-in-gigascience-sequencing-and-the-single-cell/){rel="nofollow"} appeared first on [GigaBlog](http://gigasciencejournal.com/blog){rel="nofollow"}.