Libbey White

ORCID: 0000-0003-4409-083X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Acute Myeloid Leukemia Research
  • Chronic Myeloid Leukemia Treatments
  • Cancer Genomics and Diagnostics
  • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Protein Degradation and Inhibitors
  • Genomics and Rare Diseases
  • Fungal Plant Pathogen Control
  • Algorithms and Data Compression
  • Eosinophilic Disorders and Syndromes
  • Genomics and Phylogenetic Studies
  • Genetics, Bioinformatics, and Biomedical Research

Oregon Health & Science University
2015-2019

10.1038/s41586-018-0623-z article EN Nature 2018-10-01

FLT3 mutations are prevalent in AML patients and confer poor prognosis. Crenolanib, a potent type I pan-FLT3 inhibitor, is effective against both internal tandem duplications resistance-conferring tyrosine kinase domain mutations. While crenolanib monotherapy has demonstrated clinical benefit heavily pretreated relapsed/refractory patients, responses transient relapse eventually occurs. Here, to investigate the mechanisms of resistance, we perform whole exome sequencing patient samples...

10.1038/s41467-018-08263-x article EN cc-by Nature Communications 2019-01-10

Abstract Purpose: Chronic neutrophilic leukemia (CNL), chronic myelomonocytic (CMML), atypical myeloid (aCML), and unclassified myeloproliferative neoplasms (MPN-U) are a group of heterogeneous disorders belonging to rare entities or myelodysplastic/myeloproliferative (MDS/MPN) syndromes. Due lack specific molecular markers the limited understanding pathogenesis, treatment these diseases remains empirical, resulting in poor outcomes. Recently, recurrent mutations ASXL1, TET2, SRSF2 cell...

10.1158/1538-7445.am2017-2452 article EN Cancer Research 2017-07-01

High-throughput genetic sequencing produces the ultimate "big data": a human genome sequence contains more than 3B base pairs, and characteristics, or annotations, are being recorded at base-pair level. Locating areas of interest within is challenge for researchers, limiting their investigations. We describe our vision adapting data" ranked search to problem searching genome. Our goal make data as easy scientists Internet.

10.1145/2795218.2795221 article EN 2015-05-31
Coming Soon ...