Pyk2 regulates cell-edge protrusion dynamics by interacting with Crk

Focal adhesion kinase (FAK) is well established as a regulator of cell migration, but whether and how the closely related proline-rich tyrosine kinase 2 (Pyk2) regulates fibroblast motility is still under debate. Using mouse embryonic fibroblasts (MEFs) from Pyk2^–/– mice, we show here, for the first time, that lack of Pyk2 significantly impairs both random and directed fibroblast motility. Pyk2^–/– MEFs show reduced cell-edge protrusion dynamics, which is dependent on both the kinase and protein–protein binding activities of Pyk2. Using bioinformatics analysis of in vitro high- throughput screens followed by text mining, we identified CrkI/II as novel substrates and interactors of Pyk2. Knockdown of CrkI/II shows altered dynamics of cell-edge protrusions, which is similar to the phenotype observed in Pyk2^–/– MEFs. Moreover, epistasis experiments suggest that Pyk2 regulates the dynamics of cell-edge protrusions via direct and indirect interactions with Crk that enable both activation and down-regulation of Crk-mediated cytoskeletal signaling. This complex mechanism may enable fine-tuning of cell-edge protrusion dynamics and consequent cell migration on the one hand together with tight regulation of cell motility, a process that should be strictly limited to specific time and context in normal cells, on the other hand.     

The SET8 H4K20 protein lysine methyltransferase has a long recognition sequence covering seven amino acid residues

The SET8 histone lysine methyltransferase, which monomethylates the histone 4 lysine 20 residue plays important roles in cell cycle control and genomic stability. By employing peptide arrays we have shown that it has a long recognition sequence motif covering seven amino acid residues, viz. R¹⁷–H¹⁸–(R¹⁹KY)–K²⁰–(V²¹ILFY)–(L²²FY)–R²³. Celluspots peptide array methylation studies confirmed specific monomethylation of H4K20 and revealed that the symmetric and asymmetric methylation on R¹⁷ of the H4 tail inhibits methylation on H4K20. Similarly, dimethylation of the R located at the −3 position also reduced methylation of p53 K382 which had been shown previously to be methylated by SET8. Based on the derived specificity profile, we identified 4 potential non-histone substrate proteins. After relaxing the specificity profile, we identified several more candidate substrates and showed efficient methylation of 20 novel non-histone peptides by SET8. However, apart from H4 and p53 none of the identified novel peptide targets was methylated at the protein level. Since H4 and p53 both contain the target lysine in an unstructured part of the protein, we conclude that the long recognition sequence of SET8 makes it difficult to methylate a lysine in a folded region of a protein, because amino acid side chains essential for recognition will be buried.     

Wavelet-based estimation of hemodynamic response function from fMRI data

We present a new algorithm to estimate hemodynamic response function (HRF) and drift components of fMRI data in wavelet domain. The HRF is modeled by both parametric and nonparametric models. The functional Magnetic resonance Image (fMRI) noise is modeled as a fractional brownian motion (fBm). The HRF parameters are estimated in wavelet domain by exploiting the property that wavelet transforms with a sufficient number of vanishing moments decorrelates a fBm process. Using this property, the noise covariance matrix in wavelet domain can be assumed to be diagonal whose entries are estimated using the sample variance estimator at each scale. We study the influence of the sampling rate of fMRI time series and shape assumption of HRF on the estimation performance. Results are presented by adding synthetic HRFs on simulated and null fMRI data. We also compare these methods with an existing method,(1) where correlated fMRI noise is modeled by a second order polynomial functions.     

Peroxisomes in mouse and human lung: their involvement in pulmonary lipid metabolism

Only sparse information is available from the literature on the peroxisomal compartment and its enzyme composition in mouse and human lungs. Therefore, in the present investigation we have characterized peroxisomes in different cell types of adult mouse (C57BL/6J) and human lungs in a comprehensive study using a variety of light-, fluorescence- and electron microscopic as well as biochemical techniques and by the use of various peroxisomal marker proteins (Pex13p, Pex14p, ABCD3, beta-oxidation enzymes and catalase). In contrast to previous reports, we have found that peroxisomes are present in all cell types in human and mouse lungs. However, they differ significantly and in a cell-type-specific manner in their structure, numerical abundance and enzyme composition. Whereas catalase showed significant differences between distinct cell types, Pex14p proved to be the marker of choice for labeling all lung peroxisomes. In alveolar type II cells and alveolar macrophages peroxisomes contained significant amounts of the lipid transporter ABCD3 and beta-oxidation enzymes, suggesting their involvement in the modification and recycling of surfactant lipids and in the control of lipid mediators and ligands for nuclear receptors of the PPAR family. Possible connections between ROS and lipid metabolism of lung peroxisomes are discussed.     

Investigation of urinary volatomic alterations in head and neck cancer: a non-invasive approach towards diagnosis and prognosis

Introduction

Head and neck cancer (HNC), like many other forms of cancer, is usually detected in advanced stages, causing poor survival outcomes. Lack of specific and sensitive screening markers for early detection of HNC has worsened the scenario for the patients as well as the clinicians. Therefore, identification of efficient, noninvasive and affordable screening marker/methodology with high specificity and sensitivity is imminent need of situation.

Objectives

This study aims to identify and characterize urinary volatomic alterations specific to HNC.

Methods

Volatomic analysis of urine samples collected from HNC patients (n?=?29) and healthy controls (n?=?31) was performed using headspace solid phase microextraction coupled to gas chromatography mass spectrometry (GC–MS). Both univariate and multivariate statistical approaches were used to investigate HNC specific volatomic alterations.

Results

Statistical analysis revealed a total of 28 metabolites with highest contribution towards discrimination of HNC patients from healthy controls (VIP >1, p?<?0.05, Log₂ FC ≥0.58/≤?0.57). The discrimination efficiency and accuracy of urinary VOCs was ascertained by ROC curve analysis that allowed the identification of four metabolites viz. 2,6-dimethyl-7-octen-2-ol, 1-butanol, p-xylene and 4-methyl-2-heptanone with highest sensitivity and specificity to discriminate HNC patients from healthy controls. Further, the metabolic pathway analysis identified several dysregulated pathways in HNC patients and their detailed investigations could unravel novel mechanistic insights into the disease pathophysiology.

Conclusion

Overall, this study provides valuable fingerprint of the volatile profile of HNC patients, which in turn, might help in improving the current understanding of this form of cancer and lead to the development of non-invasive approaches for HNC diagnosis.

     

Dynamic assembly of TRPC1-STIM1-Orai1 ternary complex is involved in store-operated calcium influx. Evidence for similarities in store-operated and calcium release-activated calcium channel components

Store-operated calcium entry (SOCE) is a ubiquitous mechanism that is mediated by distinct SOC channels, ranging from the highly selective calcium release-activated Ca2+ (CRAC) channel in rat basophilic leukemia and other hematopoietic cells to relatively Ca2+-selective or non-selective SOC channels in other cells. Although the exact composition of these channels is not yet established, TRPC1 contributes to SOC channels and regulation of physiological function of a variety of cell types. Recently, Orai1 and STIM1 have been suggested to be sufficient for generating CRAC channels. Here we show that Orai1 and STIM1 are also required for TRPC1-SOC channels. Knockdown of TRPC1, Orai1, or STIM1 attenuated, whereas overexpression of TRPC1, but not Orai1 or STIM1, induced an increase in SOC entry and I(SOC) in human salivary gland cells. All three proteins were co-localized in the plasma membrane region of cells, and thapsigargin increased co-immunoprecipitation of TRPC1 with STIM1, and Orai1 in human salivary gland cells as well as dispersed mouse submandibular gland cells. In aggregate, the data presented here reveal that all three proteins are essential for generation of I(SOC) in these cells and that dynamic assembly of TRPC1-STIM1-Orai1 ternary complex is involved in activation of SOC channel in response to internal Ca2+ store depletion. Thus, these data suggest a common molecular basis for SOC and CRAC channels.     

Histidine availability is decisive in ROS-mediated cytotoxicity of copper complexes of Aβ1–16 peptide

The binding of metal ions to Aβ peptide plays an important role in the etiology of AD. Copper coordinates chiefly to His residues and produces reactive oxygen species (ROS) upon redox cycling. ROS builds enormous burden on the normal functioning of neuronal cells and results into deleterious effects. Recently, two structurally distinct copper binding sites with contrasting redox properties were characterized. Here, we demonstrate for the first time the effect of binding of two equivalents of Cu²⁺ on redox properties and cytotoxicity of Aβ peptide. Our electrochemical data and ascorbate consumption assay suggest that in the presence of two equivalents of copper; Aβ peptide has higher propensity of H₂O₂ generation. The oxidation of Aβ1–16 peptide due to both gamma radiolysis and metal catalyzed oxidation in the presence of two equivalents of copper is inhibited confirming the binding of both equivalents of copper to peptide. The electrochemical and cytotoxicity study shows that negative shift in the reduction potential is reflected as slightly higher cytotoxicity in SH-SY5Y cell lines for Aβ1–16–Cu²⁺ (1:2) complex.