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Status |
Public on Aug 30, 2024 |
Title |
sciMETv3 for atlas-scale single-cell DNA methylation analysis |
Organism |
Homo sapiens |
Experiment type |
Methylation profiling by high throughput sequencing
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Summary |
We describe sciMETv3, a combinatorial indexing-based technique that is capable of producing single-cell DNA methylation datasets with 100's of thousands of cells in a single experiment by one individual over two days. sciMETv3 is compatible with capture techniques to reduce sequencing costs (sciMET-cap) as well as enzymatic conversion methods. sciMETv3 libraries can be designed for compatibility with both Illumina and Ultima sequencing platforms.
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Overall design |
Four speciems were used in this study, each a BA46 cortex specimen from a healthy donor and processed using sciMETv3.
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Contributor(s) |
Andrew A, Ruth N, Lauren R |
Citation missing |
Has this study been published? Please login to update or notify GEO. |
BioProject |
PRJNA1126272 |
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Submission date |
Jul 31, 2024 |
Last update date |
Aug 31, 2024 |
Contact name |
Andrew Adey |
E-mail(s) |
adey@ohsu.edu
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Organization name |
Oregon Health & Science University
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Department |
MMG
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Lab |
Adey Lab
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Street address |
3181 S.W. Sam Jackson Park Rd, RHH, L103
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City |
Portland |
State/province |
OR |
ZIP/Postal code |
97239-3098 |
Country |
USA |
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Platforms (3) |
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Samples (4)
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GSM8433386 |
sciMETv3, brain, 4 donors, Illumina NovaSeq |
GSM8433387 |
sciMETv3, brain, 4 donors, Ultima UG100 |
GSM8433388 |
sciMETv3, brain, 4 donors, pilot experiment |
GSM8433389 |
sciMETv3, brain, 4 donors, capture and conversion experiments |
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Supplementary file |
Size |
Download |
File type/resource |
GSE273592_RAW.tar |
695.2 Gb |
(http)(custom) |
TAR (of H5, RDATA, TAR) |
SRA Run Selector |
Raw data are available in SRA |
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