Learn More
UNLABELLED Despite gains in survival, outcomes for patients with metastatic or recurrent rhabdomyosarcoma remain dismal. In a collaboration between the National Cancer Institute, Children's Oncology Group, and Broad Institute, we performed whole-genome, whole-exome, and transcriptome sequencing to characterize the landscape of somatic alterations in 147(More)
Amplification of MYCN is the signature genetic aberration of 20-25% of neuroblastoma and a stratifying marker associated with aggressive tumor behavior. The detection of heterogeneous MYCN amplification (hetMNA) poses a diagnostic dilemma due to the uncertainty of its relevance to tumor behavior. Here, we aimed to shed light on the genomic background which(More)
Despite advances in multimodal treatment, neuroblastoma (NB) is often fatal for children with high-risk disease and many survivors need to cope with long-term side effects from high-dose chemotherapy and radiation. To identify new therapeutic targets, we performed an siRNA screen of the druggable genome combined with a small molecule screen of 465 compounds(More)
In patients with hepatitis C, a loss-of-function mutation of chemokine receptor CCR5 (CCR5Delta32) has been shown to be associated with spontaneous viral clearance and lower levels of hepatic inflammation. In the present study, we show that CCR5 is coexpressed with the inhibitory NKG2A receptor on CD8(+) T cells. Consequently, CCR5(+) T cells were highly(More)
The discovery and physico-chemical characterization of three novel and minor virginiamycin M1 analogs as potent gastrin antagonists from a culture of a strain of Streptomyces olivaceus are described. These analogs are L-156,586, L-156,587 and L-156,588. They are, respectively, 15-dihydro-13,14-anhydro-, 13,14-anhydro- and 13-desoxy-analogs of virginiamycin(More)
BACKGROUND The Batista procedure leads to dramatic early improvement in left ventricular function in some patients and a worsening in function in others. The theoretical and actual clinical effects of the procedure on early postoperative left ventricular function remain controversial. The purpose of this study is to utilize an appropriate mathematical model(More)
The annotation of cellular nuclei in images of tissue sections is a time consuming but crucial task in quantitative microscopy. We present a machine learning framework incorporating expert knowledge enabling biologists to annotate a large number of nuclear images in a reasonable time. The proposed system is designed to generate three successive levels of(More)
  • 1