Rhythmic U2af26 alternative splicing controls PERIOD1 stability and the circadian clock in mice.

The circadian clock drives daily rhythms in gene expression to control metabolism, behavior, and physiology; while the underlying transcriptional feedback loops are well defined, the impact of alternative splicing on circadian biology remains poorly understood. Here we describe a robust circadian and light-inducible splicing switch that changes the reading frame of the mouse mRNA encoding U2-auxiliary-factor 26 (U2AF26). This results in translation far into the 3' UTR, generating a C terminus with homology to the Drosophila clock regulator TIMELESS. This new U2AF26 variant destabilizes PERIOD1 protein, and U2AF26-deficient mice show nearly arrhythmic PERIOD1 protein levels and broad defects in circadian mRNA expression in peripheral clocks. At the behavioral level, these mice display increased phase advance adaptation following experimental jet lag. These data suggest light-induced U2af26 alternative splicing to be a buffering mechanism that limits PERIOD1 induction, thus stabilizing the circadian clock against abnormal changes in light:dark conditions.

Activation-induced tumor necrosis factor receptor-associated factor 3 (Traf3) alternative splicing controls the noncanonical nuclear factor κB pathway and chemokine expression in human T cells.

The noncanonical nuclear factor κB (ncNFκB) pathway regulates the expression of chemokines required for secondary lymphoid organ formation and thus plays a pivotal role in adaptive immunity. Whereas ncNFκB signaling has been well described in stromal cells and B cells, its role and regulation in T cells remain largely unexplored. ncNFκB activity critically depends on the upstream NFκB-inducing kinase (NIK). NIK expression is negatively regulated by the full-length isoform of TNF receptor-associated factor 3 (Traf3) as formation of a NIK-Traf3-Traf2 complex targets NIK for degradation. Here we show that T cell-specific and activation-dependent alternative splicing generates a Traf3 isoform lacking exon 8 (Traf3DE8) that, in contrast to the full-length protein, activates ncNFκB signaling. Traf3DE8 disrupts the NIK-Traf3-Traf2 complex and allows accumulation of NIK to initiate ncNFκB signaling in activated T cells. ncNFκB activity results in expression of several chemokines, among them B cell chemoattractant (CxCL13), both in a model T cell line and in primary human CD4(+) T cells. Because CxCL13 plays an important role in B cell migration and activation, our data suggest an involvement and provide a mechanistic basis for Traf3 alternative splicing and ncNFκB activation in contributing to T cell-dependent adaptive immunity.

Comparative evaluation of high-performance liquid chromatography stationary phases used for the separation of peptides in terms of quantitative structure-retention relationships.

Chromatographic measurements were made on 17 physicochemically diversified high-performance liquid chromatography (HPLC) columns which were further analyzed in terms of their similarities and dissimilarities for 25 carefully designed, structurally diverse peptides showing distinctly distinguished groups. The goal of the study was to investigate the molecular mechanism of retention and to find an objective manner of quantitative comparison of retention properties and classification of modern stationary phases for reverse phase HPLC (RP-HPLC). We utilized the structural descriptors of peptides obtained from molecular modeling to describe their chromatographic retention behavior under given HPLC conditions. Quantitative structure-retention relationships (QSRR) with the following descriptors were employed: logarithm of the sum of amino acid retention contributions in a given peptide, logSumAA, logarithm of the Van der Waals volume of the peptide, logVDWvol, and logarithm of its calculated n-octanol/water coefficient, clogP. The best QSRR equations were obtained in the case of monolithic and regular octadecylsilica columns. On the other hand, the combination of QSRR and principal component analysis (PCA) can be considered as the efficient tool allowing column classification and searching for orthogonal HPLC conditions required to separate peptides.

HPLC columns partition by chemometric methods based on peptides retention.

In recent years, multivariate techniques have been utilized to evaluate reversed-phase high-performance liquid chromatographic data. In the present study, 11 high-performance liquid chromatography (HPLC) columns were divided into several groups according to the retention factors of 12 peptides. Principal component analysis (PCA) and cluster analysis (CA) were used in column and peptides' comparison and grouping. CA results indicated that all stationary phases may be generally grouped into several clusters, due to stationary phase structure and properties. On the other hand, interesting results were obtained with the use of PC. There is almost linear relationship between classified HPLC columns in the space of new PCs, which is connected with meaning of the PC's reflected in their loading values. The first component describes non-polar properties of peptides, whereas the second component is loaded with polar peptides having much lower logP values. PCA and CA were also used in peptides comparison however, complete explanation of peptides grouping still remains unclear.