Rainer Spang

TL;DR: In this article, the authors used early-passage EBV-negative cells from different tumors and BL subclones from a single tumor, to compare EBV negative cells with EBV positive cells displaying either classical latency I EBV infection (where EBNA1 is the only EBV antigen expressed from the wild-type EBV genome) or Wp-restricted latency (where an EBNA2 gene-deleted virus genome broadens antigen expression to include the EBNA3A, -3B, and -3C proteins and BHRF1).

TL;DR: Very early relapse of ALL is characterized by an increased proliferative capacity of leukemic blasts and up-regulated mitotic genes, which suggests that novel drugs, targeting late cell cycle proteins, might be beneficial for these patients that typically face a dismal prognosis.

TL;DR: twilight as mentioned in this paper is a Bioconductor compatible package for analysing the statistical significance of differentially expressed genes, which is based on the concept of the local false discovery rate (FDR), a generalization of the frequently used global FDR.

TL;DR: A complete statistical model is developed for the analysis of tumor specific gene expression profiles that uncovers conflicts in the data with respect to the classification of some of the tumors, highlighting them as critical cases for which additional investigations are appropriate.

TL;DR: In this paper, a complete statistical model for the analysis of tumor specific gene expression profiles was developed, which provides investigators with a global overview on large scale gene expression data, indicating aspects of the data that relate to tumor phenotype, but also summarizing the uncertainties inherent in classification of tumor types.