Synthesis and SAR of 2-arylbenzoxazoles, benzothiazoles and benzimidazoles as inhibitors of lysophosphatidic acid acyltransferase-beta

2-Arylbenzoxazoles, benzothiazoles and benzimidazoles were identified as new classes of potent, isoform specific inhibitors of lysophosphatidic acid acyltransferase-beta (LPAAT-beta). Effects of selected inhibitors on proliferation of tumor cells in vitro were investigated.     

Interacting quantitative trait loci control loss of peripheral tolerance and susceptibility to autoimmune ovarian dysgenesis after day 3 thymectomy in mice

Day 3 thymectomy (D3Tx) results in a loss of peripheral tolerance mediated by CD4(+)CD25(+) T cells and the development of autoimmune ovarian dysgenesis (AOD) in A/J and (C57BL/6J x A/J)F(1) (B6AF(1)) hybrids but not in C57BL/6J mice. Quantitative trait loci (QTL) linkage analysis using a B6AF(1) x C57BL/6J backcross population verified Aod1 and Aod2 that were previously mapped as qualitative traits. Additionally, three new QTL intervals, Aod3, Aod4, and Aod5, on chromosomes 1, 2, and 7, respectively, influencing specific subphenotypes of AOD were identified. QTL linkage analysis using the A x B and B x A recombinant inbred lines verified Aod3 and confirmed linkage to H2. Aod5 colocalized with Mater, an ovarian-specific autoantigen recognized by anti-ovarian autoantibodies in the sera of D3Tx mice. Sequence analysis of Mater identified allelic, strain-specific splice variants between A/J and C57BL/6J mice making it an attractive candidate gene for Aod5. Interaction analysis revealed significant epistatic effects between Aod1-5 and Gasa2, a locus associated with susceptibility to D3Tx-induced autoimmune gastritis, as well as with H2. These results indicate that the QTL controlling D3Tx-induced autoimmune phenomenon are both organ specific and more generalized in their effects with respect to the genesis and activity of the immunoregulatory mechanisms maintaining peripheral tolerance.     

Eotaxin/CCL11 is involved in acute,but not chronic,allergic airway responses to Aspergillus fumigatus

Eotaxin/CCL11 is a major chemoattractant for eosinophils and Th2 cells. As such, it represents an attractive target in the treatment of allergic disease. The present study addresses the role of eotaxin/CCL11 during acute and chronic allergic airway responses to the fungus Aspergillus fumigatus. Mice lacking the eotaxin gene (Eo-/-) and wild-type mice (Eo+/+) were sensitized to A. fumigatus and received either an intratracheal challenge with soluble A. fumigatus antigens (acute model) or an intratracheal challenge with live A. fumigatus spores or conidia (chronic model). Airway hyperresponsiveness and eosinophil, but not T cell, recruitment were significantly decreased at 24 h after the soluble allergen in A. fumigatus-sensitized Eo-/- mice compared with similarly sensitized Eo+/+ mice. In contrast, the development of chronic allergic airway disease due to A. fumigatus conidia was not altered by the lack of eotaxin. Together, these data suggest that eotaxin initiates allergic airway disease due to A. fumigatus, but this chemokine did not appear to contribute to the maintenance of A. fumigatus-induced allergic airway disease.     

Protein import into and across the mitochondrial inner membrane: role of the TIM23 and TIM22 translocons

Import of nuclear-encoded mitochondrial proteins requires the action of at least two different import machines, called translocons, in the mitochondrial inner membrane (IM). The TIM23 complex mediates the translocation of proteins into the mitochondria matrix, whereas the TIM22 complex is required for the insertion of polytopic proteins into the IM. While the two translocons are distinct and composed of separate subunits, the essential reactions in each complex are carried out by homologous proteins. In addition, the core components of both the TIM23 and TIM22 translocons have been shown to form aqueous pores in the mitochondrial IM. In this review, we summarize what is known about import of proteins across the mitochondrial IM.     

BMP treatment of C3H10T1/2 mesenchymal stem cells induces both chondrogenesis and osteogenesis

The molecular mechanisms by which bone morphogenetic proteins (BMPs) promote skeletal cell differentiation were investigated in the murine mesenchymal stem cell line C3H10T1/2. Both BMP-7 and BMP-2 induced C3H10T1/2 cells to undergo a sequential pattern of chondrogenic followed by osteogenic differentiation that was dependent on both the concentration and the continuous presence of BMP in the growth media. Differentiation was determined by the expression of chondrogenesis and osteogenesis associated matrix genes. Subsequent experiments using BMP-7 demonstrated that withdrawal of BMP from the growth media led to a complete loss of skeletal cell differentiation accompanied by adipogenic differentiation of these cells. Continuous treatment with BMP-7 increased the expression of Sox9, Msx 2, and c-fos during the periods of chondrogenic differentiation after which point their expression decreased. In contrast, Dlx 5 expression was induced by BMP-7 treatment and remained elevated throughout the time-course of skeletal cell differentiation. Runx2/Cbfa1 was not detected by ribonuclease protection assay (RPA) and did not appear to be induced by BMP-7. The sequential nature of differentiation of chondrocytic and osteoblastic cells and the necessity for continuous BMP treatment to maintain skeletal cell differentiation suggests that the maintenance of selective differentiation of the two skeletal cell lineages might be dependent on BMP-7-regulated expression of other morphogenetic factors. An examination of the expression of Wnt, transforming growth factor-beta (TGF-beta), and the hedgehog family of morphogens showed that Wnt 5b, Wnt 11, BMP-4, growth and differentiation factor-1 (GDF-1), Sonic hedgehog (Shh), and Indian hedgehog (Ihh) were endogenously expressed by C3H10T1/2 cells. Wnt 11, BMP-4, and GDF-1 expression were inhibited by BMP-7 treatment in a dose-dependent manner while Wnt 5b and Shh were selectively induced by BMP-7 during the period of chondrogenic differentiation. Ihh expression also showed induction by BMP-7 treatment, however, the period of maximal expression was during the later time-points, corresponding to osteogenic differentiation. An interesting phenomenon was that BMP-7 activity could be further enhanced twofold by growing the cells in a more nutrient-rich media. In summary, the murine mesenchymal stem cell line C3H10T1/2 was induced to follow an endochondral sequence of chondrogenic and osteogenic differentiation dependent on both dose and continual presence of BMP-7 and enhanced by a nutrient-rich media. Our preliminary results suggest that the induction of osteogenesis is dependent on the secondary regulation of factors that control osteogenesis through an autocrine mechanism.     

Generation of a phagemid mouse recombinant antibody fragment library by multisite-directed mutagenesis

A nonimmune phagemid recombinant antibody fragment (rFab) library was generated with a nominal diversity of 1.16 x 10(7) using the QuikChange Multi Site-Directed Mutagenesis kit. Two degenerate primers spanning the third complementarity-determining region (CDR) loops of the antibody fragment light and heavy chain were mutated such that eight or nine amino acids were randomly changed per CDR loop. Seven proteins were used to evaluate the library quality. Protein-specific rFab antibodies were selected after three panning cycles. From 12% to 64% of the randomly selected colonies produced positive ELISA signals to the phagemid rFabs. Multisite-directed mutagenesis allowed a diverse rFab library to be rapidly constructed while retaining the structural framework of a Fab that had been optimized for production in Escherichia coli.     

The conserved N-terminal BH4 domain of Bcl-2 homologues is essential for inhibition of apoptosis and interaction with CED-4.

Bcl-2 and close homologues such as Bcl-xL promote cell survival, while other relatives such as Bax antagonize this function. Since only the pro-survival family members possess a conserved N-terminal region denoted BH4, we have explored the role of this amphipathic helix for their survival function and for interactions with several agonists of apoptosis, including Bax and CED-4, an essential regulator in the nematode Caenorhabditis elegans. BH4 of Bcl-2 could be replaced by that of Bcl-x without perturbing function but not by a somewhat similar region near the N-terminus of Bax. Bcl-2 cell survival activity was reduced by substitutions in two of ten conserved BH4 residues. Deletion of BH4 rendered Bcl-2 (and Bcl-xL) inactive but did not impair either Bcl-2 homodimerization or ability to bind to Bax or five other pro-apoptotic relatives (Bak, Bad, Bik, Bid or Bim). Hence, association with these death agonists is not sufficient to promote cell survival. Significantly, however, Bcl-xL lacking BH4 lost the ability both to bind CED-4 and antagonize its pro-apoptotic activity. These results favour the hypothesis that the BH4 domain of pro-survival Bcl-2 family members allows them to sequester CED-4 relatives and thereby prevent apoptosis.     

Adhesion of pancreatic beta cells to biopolymer films

Dramatic reversal of Type 1 diabetes in patients receiving pancreatic islet transplants continues to prompt vigorous research concerning the basic mechanisms underlying patient turnaround. At the most fundamental level, transplanted islets must maintain viability and function in vitro and in vivo and should be protected from host immune rejection. Our previous reports showed enhancement of islet viability and insulin secretion per tissue mass for small islets (<125 μm) as compared with large islets (>125 μm), thus, demonstrating the effect of enhancing the mass transport of islets (i.e. increasing tissue surface area to volume ratio). Here, we report the facile dispersion of rat islets into individual cells that are layered onto the surface of a biopolymer film towards the ultimate goal of improving mass transport in islet tissue. The tightly packed structure of intact islets was disrupted by incubating in calcium‐free media resulting in fragmented islets, which were further dispersed into individual or small groups of cells by using a low concentration of papain. The dispersed cells were screened for adhesion to a range of biopolymers and the nature of cell adhesion was characterized for selected groups by quantifying adherent cells, measuring the surface area coverage of the cells, and immunolabeling cells for adhesion proteins interacting with selected biopolymers. Finally, beta cells in suspension were centrifuged to form controlled numbers of cell layers on films for future work determining the mass transport limitations in the adhered tissue constructs. © 2009 Wiley Periodicals, Inc. Biopolymers 91: 676–685, 2009. This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com     

The 2012/2013 ABRF Proteomic Research Group Study: Assessing Longitudinal Intralaboratory Variability in Routine Peptide Liquid Chromatography Tandem Mass Spectrometry Analyses*

Questions concerning longitudinal data quality and reproducibility of proteomic laboratories spurred the Protein Research Group of the Association of Biomolecular Resource Facilities (ABRF-PRG) to design a study to systematically assess the reproducibility of proteomic laboratories over an extended period of time. Developed as an open study, initially 64 participants were recruited from the broader mass spectrometry community to analyze provided aliquots of a six bovine protein tryptic digest mixture every month for a period of nine months. Data were uploaded to a central repository, and the operators answered an accompanying survey. Ultimately, 45 laboratories submitted a minimum of eight LC-MSMS raw data files collected in data-dependent acquisition (DDA) mode. No standard operating procedures were enforced; rather the participants were encouraged to analyze the samples according to usual practices in the laboratory. Unlike previous studies, this investigation was not designed to compare laboratories or instrument configuration, but rather to assess the temporal intralaboratory reproducibility. The outcome of the study was reassuring with 80% of the participating laboratories performing analyses at a medium to high level of reproducibility and quality over the 9-month period. For the groups that had one or more outlying experiments, the major contributing factor that correlated to the survey data was the performance of preventative maintenance prior to the LC-MSMS analyses. Thus, the Protein Research Group of the Association of Biomolecular Resource Facilities recommends that laboratories closely scrutinize the quality control data following such events. Additionally, improved quality control recording is imperative. This longitudinal study provides evidence that mass spectrometry-based proteomics is reproducible. When quality control measures are strictly adhered to, such reproducibility is comparable among many disparate groups. Data from the study are available via ProteomeXchange under the accession code PXD002114.The broad-reaching use and application of mass spectrometry-based proteomics in the international research community continues to exponentially grow and expand. As the technology has developed and practitioners have become skilled in performing complex workflows, the community has not only gained interest in assessing data across laboratories but also in maintaining consistent quality control within a laboratory. Koecher et al. raised the issue of quality control measures and how this aspect of mass spectrometry-based proteomics is generally neglected in scientific publications (1). Fortunately, studies characterizing the stability of liquid chromatography-tandem MS (LC-MSMS)¹ quality control performance among numerous laboratories are emerging. The relationship between sample preparation schemes, data acquisition and reduction strategies, and bioinformatic analyses have been comprehensively reviewed by Tabb (2).Several studies exist where intra- and interlaboratory reproducibility between multiple sites has been assessed under different settings. Perhaps the most systematic and detailed of these investigations are from the Human Proteome Organization (HuPO) test sample working group (3); the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (NCI CPTAC) (4); and the ProteoRed Consortium (5, 6). The HuPO group utilized an equimolar mixture of 20 highly purified recombinant human proteins (5 pmol per protein) distributed to 27 different laboratories and analyzed without constraint according to optimized LCMS and database search protocols from each of the laboratories (3). The study was not an assessment of instrument performance for highly sensitive detection of proteins, as all participating laboratories had acquired raw data of sufficient quality to identify all 20 proteins (and a specific subset of tryptic peptides). The study revealed, however, that discrepancies in peptide identification and protein assignment were the result of differences in data analysis strategies rather than data collection.The NCI CPTAC group used a standardized Saccharomyces cerevisiae proteome digest that was analyzed on ion-trap-based LCMS platforms in five independent laboratories according to both an established standard operating procedure (SOP) and with no SOP constraint (4). All data analysis was centralized, and thus, any observed variations were entirely because of the LCMS platform. By applying the performance metrics developed by Rudnick et al. (7), several key points emerged: (1) as expected, intralaboratory variation was less than interlaboratory variation; and (2) overall, the interlaboratory variation in peptide identifications and some of the other performance metrics were comparable between instruments, although there were large differences in the average values for some metrics (e.g. MS1 signal intensity, dynamic sampling).The ProteoRed Consortium initiated the ProteoRed Multicenter Experiment for Quality Control (PMEQC) (5, 6). This longitudinal QC multicenter study involved 12 institutes, and was designed to assess: (1) intralaboratory repeatability of LC-MSMS proteomic data; (2) interlaboratory reproducibility; and (3) reproducibility across multiple instrument platforms. Participants received samples of undigested or tryptically digested yeast proteins and were requested to follow strict analytical guidelines. Data analysis was centralized and performed under standard procedures using a common workflow. The study revealed that the overall performance with respect to metrics such as reproducibility, sensitivity, dynamic range etc. was directly related to the degree of operator expertise, and less dependent on instrumentation.Several studies not specifically focused on quality control have also yielded insight into proteomic reproducibility. The HuPO plasma proteome project (HuPO PPP) distributed 20 human samples (five serum plus 3 × 5 plasma samples treated with three different anticoagulants) to 35 laboratories spanning 13 countries (8). The purpose of this large-scale study was not to assess reproducibility per se, but rather to generate the largest and most comprehensive data set on the protein composition of human plasma/serum. On a smaller scale, the ISB standard 18 protein mixture (purified proteins from cow, horse, rabbit, chicken, E. coli, and B. licheniformus) was also assessed between laboratories on eight different LCMS platforms (9). These data reside in a comprehensive, multiplatform database as a resource for the proteomic community. Additional interlaboratory assessments have consisted of multiple reaction monitoring-based measurements of peptides/proteins in plasma (10, 11) and protein–protein interactions at both the biochemical and proteomic level (12).For team leaders/directors of proteomic laboratories and any researcher collaborating with such groups, major questions that may arise concerning data consistency are: how well are quality controls being implemented in the daily operations? Do the quality control measures effectively support data reproducibility? To address this, the Protein Research Group of the Association of Biomolecular Resource Facilities (ABRF-PRG) designed a study whereby LC-MSMS data obtained from the analysis of a commercially available bovine protein mixture predigested with trypsin were collected at routine intervals over a period of 9 months. Raw MS data files from a total of 64 participating laboratories were accumulated, and HPLC and MS performance were evaluated through QC metrics (13). The main impetus of the study was to recognize key sources of variability in HPLC and MS analyses under extended and routine operating conditions for each laboratory and to catalog the state of quality control in a diverse set of proteomic laboratories.No standard operating protocol was imposed on the participants; instead, contributors were encouraged to employ the methods that were typically applied in individual laboratories. Optimization of instrument methods on the provided sample was discouraged. A survey was conducted with each sample submission to catalog individual laboratory practices, instrument configurations, acquisition settings, including routine and nonroutine maintenance procedures. Unlike previous investigations where emphasis was placed on the preparation, distribution, and evaluation of protein standards to appraise and/or standardize LCMS platforms between laboratories, the key interest in this study was purely to determine the intralaboratory performance, reproducibility, and consistency of participating laboratories over an extended period of time.The rapidly expanding number of proteomic laboratories have incorporated divergent HPLC systems, mass spectrometers, solvent systems, columns etc. As a result, analyzing data from a large number of laboratories necessitates tools that can accommodate data from a broad range of platforms. For example, to expect a small laboratory with a decade-old three-dimensional ion trap mass spectrometer to achieve the same sensitivity as a laboratory with a high-resolution hybrid instrument would be unfair. Correspondingly, the data analysis needs to include axes beyond simple peptide-level sensitivity. Nevertheless, the laboratory with the older instrumentation may be consistently better at maximizing performance from the chosen instrument platform compared with a laboratory with the latest high-end equipment.The focus of this study was to estimate the degree of variability in intralaboratory performance over a 9-month period. This goal was achieved using quality metrics that are applicable to most LC-MSMS workflows. The inclusion of data from many laboratories will enable the proteomic community to determine the current state of quality control within a typical laboratory. The survey data enabled the mapping of some alterations in instrument performance to documented laboratory events, e.g. mass spectrometer calibration. The study was designed neither to compare one laboratory with another, nor to discriminate between classes of instrumentation.Questions of data quality and performance in the proteomic community are appropriately aligned with the heightened awareness of a perceived lack of reproducibility of scientific findings in general (1). This community has endeavored to provide tools to assess proteomic data quality, and this study provides additional insight into the application of such tools and the quality of data within respective laboratories.     

Speeding Up Ecological and Evolutionary Computations in R; Essentials of High Performance Computing for Biologists

Computation has become a critical component of research in biology. A risk has emerged that computational and programming challenges may limit research scope, depth, and quality. We review various solutions to common computational efficiency problems in ecological and evolutionary research. Our review pulls together material that is currently scattered across many sources and emphasizes those techniques that are especially effective for typical ecological and environmental problems. We demonstrate how straightforward it can be to write efficient code and implement techniques such as profiling or parallel computing. We supply a newly developed R package (aprof) that helps to identify computational bottlenecks in R code and determine whether optimization can be effective. Our review is complemented by a practical set of examples and detailed Supporting Information material (S1–S3 Texts) that demonstrate large improvements in computational speed (ranging from 10.5 times to 14,000 times faster). By improving computational efficiency, biologists can feasibly solve more complex tasks, ask more ambitious questions, and include more sophisticated analyses in their research.

This is part of the PLOS Computational Biology Education collection.