Reliable detection of somatic mutations in solid tissues by laser-capture microdissection and low-input DNA sequencing
Somatic mutations accumulate in healthy tissues as we age, giving rise to cancer and potentially contributing to ageing. To study somatic mutations in non-neoplastic tissues, we developed a series of protocols to sequence the genomes of small populations of cells isolated from histological sections. Here, we describe a complete workflow that combines laser-capture microdissection (LCM) with low-input genome sequencing, whilst circumventing the use of whole-genome amplification (WGA). The protocol is subdivided broadly into 4 steps: tissue processing, LCM, low-input library generation and mutation calling and filtering. The tissue processing and LCM steps are provided as general guidelines which may require tailoring based on the specific requirements of the study at hand. Our protocol for low-input library generation utilises enzymatic rather than acoustic fragmentation to generate WGA-free whole-genome libraries. Finally, the mutation calling and filtering strategy has been adapted from previously published protocols to account for artefacts introduced via library creation. To date, we have used this workflow to perform targeted and whole-genome sequencing of small populations of cells (typically 100-1,000 cells) in thousands of microbiopsies from a wide range of human tissues. The low-input DNA protocol is designed to be compatible with liquid handling platforms and make use of equipment and expertise standard to any core sequencing facility. However, obtaining low-input DNA material via LCM requires specialized equipment and expertise. The entire protocol from tissue reception through whole-genome library generation can be accomplished in as little as a week, though 2-3 weeks would be a more typical turnaround time.
- 18 samples
- DAC: EGAC00001000000
- Technologies: HiSeq X Ten, Illumina NovaSeq 6000
- PUB DUO:0000019 (version: 2021-02-23)publication requiredThis data use modifier indicates that requestor agrees to make results of studies using the data available to the larger scientific community.
- US DUO:0000026 (version: 2021-02-23)user specific restrictionThis data use modifier indicates that use is limited to use by approved users.
- IS DUO:0000028 (version: 2021-02-23)institution specific restrictionThis data use modifier indicates that use is limited to use within an approved institution.
- GRU DUO:0000042 (version: 2021-02-23)general research useThis data use permission indicates that use is allowed for general research use for any research purpose.
Wellcome Trust Sanger Institute Cancer Genome Group Data Sharing Policy
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
Study ID | Study Title | Study Type |
---|---|---|
Other | ||
Cancer Genomics | ||
Whole Genome Sequencing |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
ID | File Type | Size | Located in | |
---|---|---|---|---|
EGAF00001994161 | cram | 3.7 GB | ||
EGAF00001994162 | cram | 3.7 GB | ||
EGAF00001994165 | cram | 3.5 GB | ||
EGAF00001994169 | cram | 3.7 GB | ||
EGAF00001994658 | cram | 4.9 GB | ||
EGAF00001994696 | cram | 4.8 GB | ||
EGAF00001994705 | cram | 4.9 GB | ||
EGAF00001994714 | cram | 4.9 GB | ||
EGAF00001994752 | cram | 4.9 GB | ||
EGAF00001994869 | cram | 3.9 GB | ||
EGAF00001994870 | cram | 3.8 GB | ||
EGAF00001994873 | cram | 3.7 GB | ||
EGAF00001994877 | cram | 3.9 GB | ||
EGAF00001994880 | cram | 3.8 GB | ||
EGAF00001994881 | cram | 3.7 GB | ||
EGAF00001994884 | cram | 3.6 GB | ||
EGAF00001994888 | cram | 3.8 GB | ||
EGAF00001994891 | cram | 3.9 GB | ||
EGAF00001994892 | cram | 3.8 GB | ||
EGAF00001994924 | cram | 3.7 GB | ||
EGAF00001994928 | cram | 3.9 GB | ||
EGAF00001994931 | cram | 3.8 GB | ||
EGAF00001994932 | cram | 3.7 GB | ||
EGAF00001994935 | cram | 3.6 GB | ||
EGAF00001994939 | cram | 3.8 GB | ||
EGAF00001994942 | cram | 3.8 GB | ||
EGAF00001994943 | cram | 3.7 GB | ||
EGAF00001994946 | cram | 3.6 GB | ||
EGAF00001994950 | cram | 3.8 GB | ||
EGAF00002021521 | cram | 5.2 GB | ||
EGAF00002021522 | cram | 5.7 GB | ||
EGAF00002027554 | cram | 4.7 GB | ||
EGAF00002027555 | cram | 5.3 GB | ||
EGAF00002027563 | cram | 4.8 GB | ||
EGAF00002027564 | cram | 5.3 GB | ||
EGAF00002027833 | cram | 4.8 GB | ||
EGAF00002027834 | cram | 5.4 GB | ||
EGAF00002027842 | cram | 4.8 GB | ||
EGAF00002027843 | cram | 5.5 GB | ||
EGAF00002046821 | cram | 29.9 GB | ||
EGAF00002046834 | cram | 28.8 GB | ||
EGAF00002047125 | cram | 6.8 GB | ||
EGAF00002047131 | cram | 6.8 GB | ||
EGAF00002047137 | cram | 6.7 GB | ||
EGAF00002047197 | cram | 7.1 GB | ||
EGAF00002047321 | cram | 6.2 GB | ||
EGAF00002047327 | cram | 6.1 GB | ||
EGAF00002047333 | cram | 6.1 GB | ||
EGAF00002047339 | cram | 6.4 GB | ||
EGAF00002047374 | cram | 6.4 GB | ||
EGAF00002308045 | cram | 5.6 GB | ||
EGAF00002308046 | cram | 5.8 GB | ||
EGAF00002308050 | cram | 5.7 GB | ||
EGAF00002308051 | cram | 5.9 GB | ||
EGAF00002308055 | cram | 5.8 GB | ||
EGAF00002308056 | cram | 6.0 GB | ||
EGAF00002308060 | cram | 5.8 GB | ||
EGAF00002308061 | cram | 6.0 GB | ||
EGAF00002308065 | cram | 5.6 GB | ||
EGAF00002308066 | cram | 5.8 GB | ||
EGAF00002308466 | cram | 5.6 GB | ||
EGAF00002308471 | cram | 5.5 GB | ||
EGAF00002308476 | cram | 5.6 GB | ||
EGAF00002308481 | cram | 5.8 GB | ||
EGAF00002308517 | cram | 6.1 GB | ||
EGAF00002308822 | cram | 19.0 GB | ||
EGAF00002308825 | cram | 18.3 GB | ||
EGAF00002308828 | cram | 18.2 GB | ||
EGAF00003616305 | cram | 17.5 GB | ||
EGAF00003616308 | cram | 16.8 GB | ||
EGAF00003623530 | cram | 35.5 GB | ||
71 Files (494.9 GB) |