Université libre de Bruxelles

About: Université libre de Bruxelles is a education organization based out in Brussels, Belgium. It is known for research contribution in the topics: Population & Breast cancer. The organization has 24974 authors who have published 56969 publications receiving 2084303 citations. The organization is also known as: ULB.

CD4+ follicular helper T cell infiltration predicts breast cancer survival

Abstract: CD4+ T cells are critical regulators of immune responses, but their functional role in human breast cancer is relatively unknown. The goal of this study was to produce an image of CD4+ T cells infiltrating breast tumors using limited ex vivo manipulation to better understand the in vivo differences associated with patient prognosis. We performed comprehensive molecular profiling of infiltrating CD4+ T cells isolated from untreated invasive primary tumors and found that the infiltrating T cell subpopulations included follicular helper T (Tfh) cells, which have not previously been found in solid tumors, as well as Th1, Th2, and Th17 effector memory cells and Tregs. T cell signaling pathway alterations included a mixture of activation and suppression characterized by restricted cytokine/chemokine production, which inversely paralleled lymphoid infiltration levels and could be reproduced in activated donor CD4+ T cells treated with primary tumor supernatant. A comparison of extensively versus minimally infiltrated tumors showed that CXCL13-producing CD4+ Tfh cells distinguish extensive immune infiltrates, principally located in tertiary lymphoid structure germinal centers. An 8-gene Tfh signature, signifying organized antitumor immunity, robustly predicted survival or preoperative response to chemotherapy. Our identification of CD4+ Tfh cells in breast cancer suggests that they are an important immune element whose presence in the tumor is a prognostic factor.

Molecular cloning and functional expression of a new human CC-chemokine receptor gene.

Abstract: The cloning of several receptors activated by either CC or CXC chemokines and belonging to the G protein-coupled family of receptors has been reported recently. In the present work, we describe the cloning of a human gene, named ChemR13, encoding a new CC-chemokine receptor. The gene encodes a protein of 352 amino acids with a calculated molecular mass of 40 600 Da and displaying a single potential site for N-linked glycosylation. Using a set of overlapping lambda clones, the genomic organisation of the locus was investigated, demonstrating that the ChemR13 gene is physically linked, and in the same orientation, as the CC-CKR2 gene that encodes a receptor for the monocyte chemoattractant protein-1 (MCP-1). A distance of 17.5 kb separates the two coding regions, which share 75% identity in nucleic acid and amino acid sequences. Human ChemR13 was functionally expressed in a stably transfected CHO-K1 cell line. Physiological responses to chemokines were monitored using a microphysiometer. Macrophage inflammatory protein 1 alpha (MIP-1 alpha) was the most potent agonist. MIP-1 beta and RANTES were also active at physiological concentrations. The other CC-chemokines, MCP-1, MCP-2 and MCP-3, as well as CXC-chemokines (IL-8, GRO alpha) had no effect. ChemR13 receptor transcripts were detected by Northern blotting in the promyeloblastic cell line KG-1A, suggesting a potential role in the control of granulocytic lineage proliferation or differentiation. ChemR13 is thus a new member of the growing family of chemokine receptors that mediate the recruitment of cells involved in immune and inflammatory processes. Being the fifth functionally identified receptor in his class, this new CC-chemokine receptor (CC-CKR) is tentatively designated CC-CKR5.

The Third Data Release of the Sloan Digital Sky Survey

Abstract: This paper describes the Third Data Release of the Sloan Digital Sky Survey (SDSS). This release, containing data taken up through 2003 June, includes imaging data in five bands over 5282 deg2, photometric and astrometric catalogs of the 141 million objects detected in these imaging data, and spectra of 528,640 objects selected over 4188 deg2. The pipelines analyzing both images and spectroscopy are unchanged from those used in our Second Data Release.

Dynamic population mapping using mobile phone data

Abstract: During the past few decades, technologies such as remote sensing, geographical information systems, and global positioning systems have transformed the way the distribution of human population is studied and modeled in space and time. However, the mapping of populations remains constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, weeks, or months, or even year to year, are difficult to assess and limit the application of human population maps in situations in which timely information is required, such as disasters, conflicts, or epidemics. Mobile phones (MPs) now have an extremely high penetration rate across the globe, and analyzing the spatiotemporal distribution of MP calls geolocated to the tower level may overcome many limitations of census-based approaches, provided that the use of MP data is properly assessed and calibrated. Using datasets of more than 1 billion MP call records from Portugal and France, we show how spatially and temporarily explicit estimations of population densities can be produced at national scales, and how these estimates compare with outputs produced using alternative human population mapping methods. We also demonstrate how maps of human population changes can be produced over multiple timescales while preserving the anonymity of MP users. With similar data being collected every day by MP network providers across the world, the prospect of being able to map contemporary and changing human population distributions over relatively short intervals exists, paving the way for new applications and a near real-time understanding of patterns and processes in human geography.