Polyclonal lymphoid expansion drives paraneoplastic autoimmunity in neuroblastoma.

Neuroblastoma is a lethal childhood solid tumor of developing peripheral nerves. Two percent of children with neuroblastoma develop opsoclonus myoclonus ataxia syndrome (OMAS), a paraneoplastic disease characterized by cerebellar and brainstem-directed autoimmunity but typically with outstanding cancer-related outcomes. We compared tumor transcriptomes and tumor-infiltrating T and B cell repertoires from 38 OMAS subjects with neuroblastoma to 26 non-OMAS-associated neuroblastomas.

A hierarchy of selection pressures determines the organization of the T cell receptor repertoire.

We systematically examine the receptor repertoire in T cell subsets in young, adult, and LCMV-infected mice. Somatic recombination generates diversity, resulting in the limited overlap between nucleotide sequences of different repertoires even within the same individual. However, statistical features of the repertoire, quantified by the V gene and CDR3 k-mer frequency distributions, are highly conserved.

Myocardial infarction triggers cardioprotective antigen-specific T helper cell responses.

T cell autoreactivity is a hallmark of autoimmune diseases but can also benefit self-maintenance and foster tissue repair. Herein, we investigated whether heart-specific T cells exert salutary or detrimental effects in the context of myocardial infarction (MI), the leading cause of death worldwide. After screening more than 150 class-II-restricted epitopes, we found that myosin heavy chain alpha (MYHCA) was a dominant cardiac antigen triggering post-MI CD4+ T cell activation in mice.

The Genomic and Immune Landscapes of Lethal Metastatic Breast Cancer.

The detailed molecular characterization of lethal cancers is a prerequisite to understanding resistance to therapy and escape from cancer immunoediting. We performed extensive multi-platform profiling of multi-regional metastases in autopsies from 10 patients with therapy-resistant breast cancer. The integrated genomic and immune landscapes show that metastases propagate and evolve as communities of clones, reveal their predicted neo-antigen landscapes, and show that they can accumulate HLA loss of heterozygosity (LOH).

Crucial roles of single residues in binding affinity, specificity, and promiscuity in the cellulosomal cohesin-dockerin interface.

Interactions between cohesin and dockerin modules play a crucial role in the assembly of multienzyme cellulosome complexes. Although intraspecies cohesin and dockerin modules bind in general with high affinity but indiscriminately, cross-species binding is rare. Here, we combined ELISA-based experiments with Rosetta-based computational design to evaluate the contribution of distinct residues at the Clostridium thermocellum cohesin-dockerin interface to binding affinity, specificity, and promiscuity.

Indirect ELISA-based approach for comparative measurement of high-affinity cohesin-dockerin interactions.

The interaction between the cohesin and dockerin modules serves to attach cellulolytic enzymes (carrying dockerins) to non-catalytic scaffoldin units (carrying multiple cohesins) in cellulosome, a multienzyme plant cell-wall degrading complex. This interaction is species-specific, for example, the enzyme-borne dockerin from Clostridium thermocellum bacteria binds to scaffoldin cohesins from the same bacteria but not to cohesins from Clostridium cellulolyticum and vice versa. We studied the role of interface residues, contributing either to affinity or specificity, by mutating these residues on the cohesin counterpart from C.

Measurements of relative binding of cohesin and dockerin mutants using an advanced ELISA technique for high-affinity interactions.

The cellulosome is a large bacterial extracellular multienzyme complex able to degrade crystalline cellulosic substrates. The complex contains catalytic and noncatalytic subunits, interconnected by high-affinity cohesin-dockerin interactions. In this chapter, we introduce an optimized method for comparative binding among different cohesins or cohesin mutants to the dockerin partner.

Structure-based identification of catalytic residues.

The identification of catalytic residues is an essential step in functional characterization of enzymes. We present a purely structural approach to this problem, which is motivated by the difficulty of evolution-based methods to annotate structural genomics targets that have few or no homologs in the databases. Our approach combines a state-of-the-art support vector machine (SVM) classifier with novel structural features that augment structural clues by spatial averaging and Z scoring.

Increased sequence conservation of domain repeats in prokaryotic proteins.

Protein domain repeats within a protein sequence have been observed throughout all domains of life. Our analysis shows a significantly higher degree of sequence identity between repeated domains in prokaryotes compared to eukaryotes. We discuss this difference in the light of aggregation prevention, contribution to functional divergence and binding-related functions.

The SV40 capsid is stabilized by a conserved pentapeptide hinge of the major capsid protein VP1.

The simian virus 40 (SV40) outer shell is composed of 72 pentamers of VP1. The core of the VP1 monomer is a beta-barrel with jelly-roll topology and extending N- and C-terminal arms. A pentapeptide hinge, KNPYP, tethers the C-arm to the VP1 beta-barrel core.

Nuclear export of Ho endonuclease of yeast via Msn5.

Exportin-5, an evolutionarily conserved nuclear export factor of the beta-karyopherin family, exports phosphorylated proteins and small noncoding RNAs. Msn5, the yeast ortholog, exports primarily phosphorylated cargoes including Ho endonuclease and a number of transcription factors and regulatory proteins. The Msn5-mediated nuclear export of Ho is dependent on phosphorylation of Thr225 by kinases of the DNA damage response pathway.

MESHI: a new library of Java classes for molecular modeling.

Unlabelled: Adapting a modular and object-oriented approach in the design of molecular modeling packages may reduce the software development barrier between ideas and their programed applications. Towards this goal we developed MESHI, a new, strictly object-oriented, molecular modeling suite written in Java. MESHI provides a comprehensive library of extendable classes for all the essential components of molecular modeling: molecular and geometry elements, energy functions and optimization methods.