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Quantifying Hematopoietic Stem Cell Clonal Diversity by Selecting Informative Amplicon Barcodes
- Source :
- Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020), Scientific Reports
- Publication Year :
- 2020
- Publisher :
- Nature Publishing Group, 2020.
-
Abstract
- Hematopoietic stem cells (HSCs) are functionally and genetically diverse and this diversity decreases with age and disease. Numerous systems have been developed to quantify HSC diversity by genetic barcoding, but no framework has been established to empirically validate barcode sequences. Here we have developed an analytical framework, Selection of informative Amplicon Barcodes from Experimental Replicates (SABER), that identifies barcodes that are unique among a large set of experimental replicates. Amplicon barcodes were sequenced from the blood of 56 adult zebrafish divided into training and validation sets. Informative barcodes were identified and samples with a high fraction of informative barcodes were chosen by bootstrapping. There were 4.2 ± 1.8 barcoded HSC clones per sample in the training set and 3.5 ± 2.1 in the validation set (p = 0.3). SABER reproducibly quantifies functional HSCs and can accommodate a wide range of experimental group sizes. Future large-scale studies aiming to understand the mechanisms of HSC clonal evolution will benefit from this new approach to identifying informative amplicon barcodes.
- Subjects :
- 0301 basic medicine
Genotyping Techniques
Sequence analysis
lcsh:Medicine
Computational biology
Biology
Barcode
DNA barcoding
Somatic evolution in cancer
Article
law.invention
Clonal Evolution
03 medical and health sciences
0302 clinical medicine
law
Animals
lcsh:Science
Zebrafish
Phylogeny
Selection (genetic algorithm)
Multidisciplinary
Haematopoietic stem cells
lcsh:R
Sequence Analysis, DNA
Amplicon
Hematopoietic Stem Cells
Hematopoiesis
Haematopoiesis
030104 developmental biology
030220 oncology & carcinogenesis
Mutation
Mutation (genetic algorithm)
Bootstrapping (biology)
lcsh:Q
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 10
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....7e97f213572566fe9e1971467361fe14
- Full Text :
- https://doi.org/10.1038/s41598-020-59119-8