Publications by authors named "Gretchen Johnston"

Background: All-trans retinoic acid (ATRA), a derivate of vitamin A, has been successfully used as a therapy to induce differentiation in M3 acute promyelocytic leukemia (APML), and has led to marked improvement in outcomes. Previously, attempts to use ATRA in non-APML in the clinic, however, have been underwhelming, likely due to persistent signaling through other oncogenic drivers. Dysregulated JAK/STAT signaling is known to drive several hematologic malignancies, and targeting JAK1 and JAK2 with the JAK1/JAK2 inhibitor ruxolitinib has led to improvement in survival in primary myelofibrosis and alleviation of vasomotor symptoms and splenomegaly in polycythemia vera and myelofibrosis.

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Article Synopsis
  • Researchers are investigating drugs that target chromatin-modifying enzymes like INCB059872, which inhibits Lysine-Specific Demethylase 1 (LSD1) and is currently in phase I clinical trials for myeloid cancers, specifically acute myeloid leukemia (AML).
  • Initial studies suggest LSD1 inhibitors might help differentiate AML cells, but the underlying mechanisms and potential side effects are not fully understood.
  • Using advanced sequencing techniques, scientists found that INCB059872 treatment disrupts CoREST activity and enhances GFI1 gene regulation, leading to the accumulation of certain stem/progenitor cells that may cause low platelet counts (thrombocytopenia) in patients.
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The genome-wide identification of microRNA transcription start sites (miRNA TSSs) is essential for understanding how miRNAs are regulated in development and disease. In this study, we developed mirSTP (mirna transcription Start sites Tracking Program), a probabilistic model for identifying active miRNA TSSs from nascent transcriptomes generated by global run-on sequencing (GRO-seq) and precision run-on sequencing (PRO-seq). MirSTP takes advantage of characteristic bidirectional transcription signatures at active TSSs in GRO/PRO-seq data, and provides accurate TSS prediction for human intergenic miRNAs at a high resolution.

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