Detecting oxygen consumption in the proximity of Saccharomyces cerevisiae cells using self-assembled fluorescent nanosensors

We describe a strategy for the preparation and self-assembly of fluorescent nanosensors onto Saccharomyces cerevisiae cell surfaces for dynamically measuring oxygen concentration in the proximity of living cells. Amine functionalized polystyrene nanobeads were impregnated with an oxygen-sensitive ruthenium(II) complex and the beads' surface was coated with polyethylenimine. The resulting nanosensors were assembled on individual S. cerevisiae cells in a controlled manner at physiological pH for continuously monitoring oxygen consumption. This approach exemplifies a general scheme for assembling fluorescent nanosensors on cells for the non-invasive, reversible, and real-time measurement of other physiologically relevant processes, such as the efflux of protons and carbon dioxide, or the influx of glucose.     

Ginsenoside Rb3 attenuates skin flap ischemia-reperfusion damage by inhibiting STING-IRF3 signaling

Journal of Molecular Histology - We investigate the protective effect of ginsenoside Rb3 on skin flap microvasculature following ischemia-reperfusion (I/R) injury and its regulatory mechanism. We...     

High NEK2 confers to poor prognosis and contributes to cisplatin-based chemotherapy resistance in nasopharyngeal carcinoma

Nasopharyngeal carcinoma (NPC) is a common malignant tumor in southern China and Southeast Asia, but the molecular mechanism of its pathogenesis is poorly understood. Our previous work demonstrated that NEK2 is overexpressed in multiple cancers. However, how NEK2 involves in NPC development remains to be elucidated. In this study, we firstly identified NEK2, located at +1q32-q33, a late event in NPC pathogenesis, overexpressed in the stage III-IV and paired sequential recurrent patients with NPC by immunohistochemistry. Furthermore, Kaplan-Meier analysis indicated high NEK2 conferred an inferior overall survival in NPC. In addition, cisplatin experiments with cell counting kit-8, colony formation, and a xenograft mice model of NPC demonstrated that NEK2 contributed to proliferation and cisplatin resistance in vitro and in vivo. On the contrary, downregulation of NEK2 by short hairpin RNA inhibited NPC cell growth and increased the sensitivity of cisplatin treatment in vitro. Thus, increased expression of NEK2 protein could not be predicted for poor survival but used as a novel biomarker for recurrence of NPC. Targeting NEK2 has the potential to eradicate the cisplatin-based chemotherapy resistant NPC cells.     

Scalable remote homology detection and fold recognition in massive protein networks

The global connectivities in very large protein similarity networks contain traces of evolution among the proteins for detecting protein remote evolutionary relations or structural similarities. To investigate how well a protein network captures the evolutionary information, a key limitation is the intensive computation of pairwise sequence similarities needed to construct very large protein networks. In this article, we introduce label propagation on low-rank kernel approximation (LP-LOKA) for searching massively large protein networks. LP-LOKA propagates initial protein similarities in a low-rank graph by Nyström approximation without computing all pairwise similarities. With scalable parallel implementations based on distributed-memory using message-passing interface and Apache-Hadoop/Spark on cloud, LP-LOKA can search protein networks with one million proteins or more. In the experiments on Swiss-Prot/ADDA/CASP data, LP-LOKA significantly improved protein ranking over the widely used HMM-HMM or profile-sequence alignment methods utilizing large protein networks. It was observed that the larger the protein similarity network, the better the performance, especially on relatively small protein superfamilies and folds. The results suggest that computing massively large protein network is necessary to meet the growing need of annotating proteins from newly sequenced species and LP-LOKA is both scalable and accurate for searching massively large protein networks.     

Identification and cloning of xp95, a putative signal transduction protein in Xenopus oocytes

A 95-kDa protein in Xenopus oocytes, Xp95, was shown to be phosphorylated from the first through the second meiotic divisions during progesterone-induced oocyte maturation. Xp95 was purified and cloned. The Xp95 protein sequence exhibited homology to mouse Rhophilin, budding yeast Bro1, and Aspergillus PalA, all of which are implicated in signal transduction. It also contained three conserved features including seven conserved tyrosines, a phosphorylation consensus sequence for the Src family of tyrosine kinases, and a proline-rich domain near the C terminus that contains multiple SH3 domain-binding motifs. We showed the following: 1) that both Xp95 isolated from Xenopus oocytes and a synthetic peptide containing the Src phosphorylation consensus sequence of Xp95 were phosphorylated in vitro by Src kinase and to a lesser extent by Fyn kinase; 2) Xp95 from Xenopus oocytes or eggs was recognized by an anti-phosphotyrosine antibody, and the relative abundance of tyrosine-phosphorylated Xp95 increased during oocyte maturation; and 3) microinjection of deregulated Src mRNA into Xenopus oocytes increased the abundance of tyrosine-phosphorylated Xp95. These results suggest that Xp95 is an element in a tyrosine kinase signaling pathway that may be involved in progesterone-induced Xenopus oocyte maturation.     

Combining SSH and cDNA microarrays for rapid identification of differentially expressed genes

Comparing patterns of gene expression in cell lines and tissues has important applications in a variety of biological systems. In this study we have examined whether the emerging technology of cDNA microarrays will allow a high throughput analysis of expression of cDNA clones generated by suppression subtractive hybridization (SSH). A set of cDNA clones including 332 SSH inserts amplified by PCR was arrayed using robotic printing. The cDNA arrays were hybridized with fluorescent labeled probes prepared from RNA from ER-positive (MCF7 and T47D) and ER-negative (MDA-MB-231 and HBL-100) breast cancer cell lines. Ten clones were identified that were over-expressed by at least a factor of five in the ER-positive cell lines. Northern blot analysis confirmed over-expression of these 10 cDNAs. Sequence analysis identified four of these clones as cytokeratin 19, GATA-3, CD24 and glutathione-S-transferase mu-3. Of the remaining six cDNA clones, four clones matched EST sequences from two different genes and two clones were novel sequences. Flow cytometry and immunofluorescence confirmed that CD24 protein was over-expressed in the ER-positive cell lines. We conclude that SSH and microarray technology can be successfully applied to identify differentially expressed genes. This approach allowed the identification of differentially expressed genes without the need to obtain previously cloned cDNAs.     

Contact-based sequence alignment

This paper introduces the novel method of contact-based protein sequence alignment, where structural information in the form of contact mutation probabilities is incorporated into an alignment routine using contact-mutation matrices (CAO: Contact Accepted mutatiOn). The contact-based alignment routine optimizes the score of matched contacts, which involves four (two per contact) instead of two residues per match in pairwise alignments. The first contact refers to a real side-chain contact in a template sequence with known structure, and the second contact is the equivalent putative contact of a homologous query sequence with unknown structure. An algorithm has been devised to perform a pairwise sequence alignment based on contact information. The contact scores were combined with PAM-type (Point Accepted Mutation) substitution scores after parameterization of gap penalties and score weights by means of a genetic algorithm. We show that owing to the structural information contained in the CAO matrices, significantly improved alignments of distantly related sequences can be obtained. This has allowed us to annotate eight putative Drosophila IGF sequences. Contact-based sequence alignment should therefore prove useful in comparative modelling and fold recognition.