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Activity Number: 358 - Contributed Poster Presentations: Biometrics Section
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #329214
Title: Barcoding of Hematopoietic Stem Cells: Application of the Species Problem
Author(s): Siyi Chen* and Marek Kimmel and Katherine King
Companies: Rice Univ Dept of Statistics and Rice University and Baylor College of Medicine
Keywords: hematopoietic stem cells; species problem; maximum a posteriori estimation

We consider estimation of heterogeneity of hematopoietic stem cells (HSCs), which can give rise to all different types of mature blood cells. Cells can be uniquely labeled by insertion of so-called DNA barcodes which is accomplished by transduction of a library of unique DNA sequences. This also allows tracing descendants of the originally labelled cells. The estimation of the size of the target population is very important in assessing the robustness of observations made in experiments. Due to proliferation of the originally barcoded cells, the barcoding experiments will result in multiple replicates of barcodes, and this coincides with the settings of the classical Species Problem. We adopt a uniform prior for the number of 'species' based on the assumption that all barcodes are evenly distributed in the blood system. Then we compare the maximum a posteriori (MAP) estimates i.e. the modes of posterior distributions based on different assumed HSC counts. We also carry out simulations and plate number computations to determine the number of plates sufficient to achieve statistical power of pooled barcoding experiments.

Authors who are presenting talks have a * after their name.

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