Interferon regulatory factor-2 drives megakaryocytic differentiation.

IRFs [IFN (interferon) regulatory factors] constitute a family of transcription factors involved in IFN signalling and in the development and differentiation of the immune system. IRF-2 has generally been described as an antagonist of IRF-1-mediated transcription of IFN and IFN-inducible genes; however, it has been recently identified as a transcriptional activator of some genes, such as those encoding histone H4, VCAM-1 (vascular cell adhesion molecule-1) and Fas ligand. Biologically, IRF-2 plays an important role in cell growth regulation and has been shown to be a potential oncogene. Studies in knock-out mice have also implicated IRF-2 in the differentiation and functionality of haematopoietic cells. Here we show that IRF-2 expression in a myeloid progenitor cell line leads to reprogramming of these cells towards the megakaryocytic lineage and enables them to respond to thrombopoietin, as assessed by cell morphology and expression of specific differentiation markers. Up-regulation of transcription factors involved in the development of the megakaryocytic lineage, such as GATA-1, GATA-2, FOG-1 (friend of GATA-1) and NF-E2 (nuclear factor-erythroid-2), and transcriptional stimulation of the thrombopoietin receptor were also demonstrated. Our results provide evidence for a key role for IRF-2 in the induction of a programme of megakaryocytic differentiation, and reveal a remarkable functional diversity of this transcription factor in the regulation of cellular responses

Molecular Networking as a Dereplication Strategy

A major goal in natural product discovery programs is to rapidly dereplicate known entities from complex biological extracts. We demonstrate here that molecular networking, an approach that organizes MS/MS data based on chemical similarity, is a powerful complement to traditional dereplication strategies. Successful dereplication with molecular networks requires MS/MS spectra of the natural product mixture along with MS/MS spectra of known standards, synthetic compounds, or well-characterized organisms, preferably organized into robust databases. This approach can accommodate different ionization platforms, enabling cross correlations of MS/MS data from ambient ionization, direct infusion, and LC-based methods. Molecular networking not only dereplicates known molecules from complex mixtures, it also captures related analogs, a challenge for many other dereplication strategies. To illustrate its utility as a dereplication tool, we apply mass spectrometry-based molecular networking to a diverse array of marine and terrestrial microbial samples, illustrating the dereplication of 58 molecules including analogs