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| Status |
Public on Jun 01, 2023 |
| Title |
Counting and correcting errors within unique molecular identifiers to generate absolute numbers of sequencing molecules [scRNA-Seq] |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Unique Molecular Identifiers (UMIs) are random oligonucleotide barcodes sequences? that are critical for the removal of PCR amplification biases within both bulk and single-cell sequencing experiments. However, the impact that PCR and sequencing errors have on the accuracy of generating absolute counts of RNA molecules is underappreciated. We demonstrate that PCR errors and not sequencing errors are the main source of inaccuracy in sequencing data and that the use of UMIs synthesized with homotrimeric nucleoside building blocks provides a solution to pinpoint and remove errors, allowing absolute counting of sequenced molecules.
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| Overall design |
In order to evaluate the accuracy of our homotrimer barcode assignment we captured mixed mouse and human cells (at ratio of 50:50 for 10X or 20:80 for drop-seq) and then performed single-cell RNA sequencing.
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| Contributor(s) |
Cribbs AP |
| Citation missing |
Has this study been published? Please login to update or notify GEO. |
| |
| Submission date |
Nov 28, 2022 |
| Last update date |
Jun 03, 2023 |
| Contact name |
Adam Cribbs |
| E-mail(s) |
adam.cribbs@ndorms.ox.ac.uk
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| Organization name |
University of Oxford
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| Department |
NDORMS
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| Street address |
Windmill Road
|
| City |
Oxford |
| ZIP/Postal code |
OX37LD |
| Country |
United Kingdom |
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| Platforms (2) |
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| Samples (6)
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| This SubSeries is part of SuperSeries: |
| GSE218903 |
Counting and correcting errors within unique molecular identifiers to generate absolute numbers of sequencing molecules |
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| Relations |
| BioProject |
PRJNA906114 |
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