Expression and function of CD4 in a murine T-cell hybridoma

The CD4 (T4) antigen was originally described as a phenotypic marker specific for helper T cells, and has recently been shown to be the receptor for the human immunodeficiency virus (HIV). Functional studies using monoclonal antibodies directed at CD4 and major histocompatibility complex (MHC) class II molecules led to the suggestion that CD4 binds to the MHC class II molecules expressed on stimulator cells, enhancing T-cell responsiveness by increasing the avidity of T cell-stimulator cell interaction and/or by transmitting a positive intracellular signal. But recent evidence that antibodies to CD4 inhibit T-cell responsiveness in the absence of any putative ligand for CD4 has been interpreted as suggesting that antibody-mediated inhibition may involve the transmission of a negative signal via the CD4 molecule instead. We have infected a murine T-cell hybridoma that produces interleukin 2 (IL-2) in response to human class II HLA-DR antigens with a retroviral vector containing CD4 cDNA. The resulting CD4-expressing hybridoma cell lines produce 6- to 20-fold more IL-2 in response to HLA-DR antigens than control cell lines. Furthermore, when antigen levels are suboptimal, the response of the cell lines is entirely CD4-dependent. The data presented here clearly demonstrate that CD4 can enhance T-cell responsiveness and may be crucial in the response to suboptimal levels of antigen.     

A candidate mouse model for Prader-Willi syndrome which shows an absence of Snrpn expression.

The best examples of imprinting in humans are provided by the Angelman and Prader-Willi syndromes (AS and PWS) which are associated with maternal and paternal 15q11-13 deletions, respectively, and also with paternal and maternal disomy 15. The region of the deletions has homology with a central part of mouse chromosome 7, incompletely tested for imprinting effects. Here, we report that maternal duplication for this region causes a murine imprinting effect which may correspond to PWS. Paternal duplication was not associated with any detectable effect that might correspond with AS. Gene expression studies established that Snrpn is not expressed in mice with the maternal duplication and suggest that the closely-linked Gabrb-3 locus is not subject to imprinting. Finally, an additional new imprinting effect is described.     

The DNA sequence and analysis of human chromosome 13

Chromosome 13 is the largest acrocentric human chromosome. It carries genes involved in cancer including the breast cancer type 2 (BRCA2) and retinoblastoma (RB1) genes, is frequently rearranged in B-cell chronic lymphocytic leukaemia, and contains the DAOA locus associated with bipolar disorder and schizophrenia. We describe completion and analysis of 95.5 megabases (Mb) of sequence from chromosome 13, which contains 633 genes and 296 pseudogenes. We estimate that more than 95.4% of the protein-coding genes of this chromosome have been identified, on the basis of comparison with other vertebrate genome sequences. Additionally, 105 putative non-coding RNA genes were found. Chromosome 13 has one of the lowest gene densities (6.5 genes per Mb) among human chromosomes, and contains a central region of 38 Mb where the gene density drops to only 3.1 genes per Mb.     

Temporal difference models describe higher-order learning in humans

The ability to use environmental stimuli to predict impending harm is critical for survival. Such predictions should be available as early as they are reliable. In pavlovian conditioning, chains of successively earlier predictors are studied in terms of higher-order relationships, and have inspired computational theories such as temporal difference learning. However, there is at present no adequate neurobiological account of how this learning occurs. Here, in a functional magnetic resonance imaging (fMRI) study of higher-order aversive conditioning, we describe a key computational strategy that humans use to learn predictions about pain. We show that neural activity in the ventral striatum and the anterior insula displays a marked correspondence to the signals for sequential learning predicted by temporal difference models. This result reveals a flexible aversive learning process ideally suited to the changing and uncertain nature of real-world environments. Taken with existing data on reward learning, our results suggest a critical role for the ventral striatum in integrating complex appetitive and aversive predictions to coordinate behaviour.