ABSP: an automated R tool to efficiently analyze region-specific CpG methylation from bisulfite sequencing PCR.

MOTIVATION: Nowadays, epigenetic gene regulations are studied in each part of the biology, from embryonic development to diseases such as cancers and neurodegenerative disorders. Currently, to quantify and compare CpG methylation levels of a specific region of interest, the most accessible technique is the bisulfite sequencing PCR (BSP). However, no existing user-friendly tool is able to analyze data from all approaches of BSP. Therefore, the most convenient way to process results from the direct sequencing of PCR products (direct-BSP) is to manually analyze the chromatogram traces, which is a repetitive and prone to error task. RESULTS: Here, we implement a new R-based tool, called ABSP for analysis of bisulfite sequencing PCR, providing a complete analytic process of both direct-BSP and cloning-BSP data. It uses the raw sequencing trace files (.ab1) as input to compute and compare CpG methylation percentages. It is fully automated and includes a user-friendly interface as a built-in R shiny app, quality control steps and generates publication-ready graphics. AVAILABILITY AND IMPLEMENTATION: The ABSP tool and associated data are available on GitHub at https://github.com/ABSP-methylation-tool/ABSP. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Transcriptomic Analysis of Breast Cancer Stem Cells and Development of a pALDH1A1:mNeptune Reporter System for Live Tracking.

Many solid cancers are hierarchically organized with a small number of cancer stem cells (CSCs) able to regrow a tumor, while their progeny lacks this feature. Breast CSC is known to contribute to therapy resistance. The study of those cells is usually based on their cell-surface markers like CD44high /CD24low/neg or their aldehyde dehydrogenase (ALDH) activity. However, these markers cannot be used to track the dynamics of CSC. Here, a transcriptomic analysis is performed to identify segregating gene expression in CSCs and non-CSCs, sorted by Aldefluor assay. It is observed that among ALDH-associated genes, only ALDH1A1 isoform is increased in CSCs. A CSC reporter system is then developed by using a far red-fluorescent protein (mNeptune) under the control of ALDH1A1 promoter. mNeptune-positive cells exhibit higher sphere-forming capacity, tumor formation, and increased resistance to anticancer therapies. These results indicate that the reporter identifies cells with stemness characteristics. Moreover, live tracking of cells in a microfluidic system reveals a higher extravasation potential of CSCs. Live tracking of non-CSCs under irradiation treatment show, for the first time, live reprogramming of non-CSCs into CSCs. Therefore, the reporter will allow for cell tracking to better understand the implication of CSCs in breast cancer development and recurrence.