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Cellular barcoding is a relatively simple method that allows quantitative assessment of the clonal dynamics of normal, nonmalignant hematopoietic stem cells and of leukemia. Cellular barcodes are (semi-)random synthetic DNA sequences of a fixed length, which are used to uniquely mark and track cells over time. A successful barcoding experiment consists of several essential steps, including library production, transfection, transduction, barcode retrieval, and barcode data analysis. Key challenges are to obtain sufficient number of barcoded cells to conduct experiments and reliable barcode data analysis. This is especially relevant for experiments using primary leukemia cells (which are of limited availability and difficult to transduce), when studying low levels of chimerism, or when the barcoded cell population is sorted in different smaller subpopulations (e.g., lineage contribution of normal hematopoietic stem cells in murine xenografts). In these settings, retrieving accurate barcode data from low input material using standard PCR amplification techniques might be challenging and more sophisticated approaches are required. In this chapter we describe the procedures to transfect and transduce patient-derived leukemia cells, to retrieve barcoded data from both high and low input material, and to filter barcode data from sequencing noise prior to quantitative clonal analysis.

Cellular barcoding is a recently rediscovered tool to trace the clonal output of individual cells with genetically distinct and heritable DNA sequences. Each year a few dozens of papers are published using the cellular barcoding technique. Those publications largely focus on mutually related issues, namely: counting cells capable of clonal proliferation and expansion, monitoring clonal dynamics in time, tracing the origin of differentiated cells, characterizing the differentiation potential of stem cells and similar topics. Apart from their biological content, claims and conclusions, these studies show remarkable diversity in technical aspects of the barcoding method and sometimes in major conclusions. Although a diversity of approaches is quite usual in data analysis, deviant handling of barcode data might directly affect experimental results and their biological interpretation. Here, we will describe typical challenges and caveats in cellular barcoding publications available so far.

Cellular barcoding is a relatively recent technique aimed at clonal analysis of a proliferating cell population of any kind. The method was shown to be particularly successful in monitoring clonal contributions of hematopoietic stem cells (HSCs). An essential step of the method is retroviral or lentiviral labeling of the hematopoietic cells. The unique feature of the method is the generation of a vector library containing specific artificial DNA tags, generally known as barcodes. The library must satisfy multiple essential requirements. Importantly, considering the number of possible variations within the barcode sequence, the actual size of the barcoded vector library, and the number of clonogenic (stem) cells in the given experiment should be in ratios far from saturation. Excessive bias in barcodes frequencies must be avoided, and the library size must be assessed prior to the sequencing analysis. The final sequencing results must undergo statistical filtering. If all requirements are met, the method ensures profound sensitivity and accuracy for monitoring of the clonal fluctuations in a wide range of biological experiments.