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Genome-wide transcriptome analysis of NIPBL hematopoeitic progenitors and megakaryocytes

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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE119828
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The purpose of this study was to compare the transcriptome of NIPBL patient derived Hematopoietic progenitors and patient-derived megakaryocytes to healthy unaffected individuals Methods: HPC transcriptome profiles of three CdLS patient iPSCs harboring mutations in the NIPBL gene and megakaryocytes generated from patient-iPSCS were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. Results: Using an optimized data analysis workflow, we mapped about 15 million sequence reads per sample to the human genome and identified transcripts in CdLS-HPCs and transcripts in CdLS-MEGs. Conclusion: Our data supports dysregulation of megakaroyctye maturation and growth arrest in response to multiple conserved developmental pathways. Examine transcriptome of Control and NIPBL HPCs and MEGs.
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2019-11-01
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