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  • 1
    In: Dental Oral Biology and Craniofacial Research, Science Repository OU
    Abstract: Oral biofilms harbour gram-negative bacterial antigen lipopolysaccharide (LPS) involved in oral cancer progression and gram-positive bacterial surface-associated adhesive, lipoteichoic acid (LTA). Thus, we hypothesised that LPS and LTA together would increase the proliferation of cancer cells compared to stimulation by LPS alone. Oral cancer cell lines SCC4, SCC9, SCC25, Cal 27 and the normal oral cell line, OKF6, were studied. The bacterial antigen stimulation indices were determined using the MT Glo assay. Cell proliferation after bacterial antigen stimulation was validated by clonogenic assays. Phosphokinase array, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and Western blot were employed to study proliferative and apoptotic pathways in bacterial antigen-stimulated cells. Bacterial antigens significantly stimulated Cal 27 (p ≤ 0.001) alone. SCC4 and SCC9 showed negligible stimulation with either antigen, while SCC25 results were comparable to OKF6. The combined antigen stimulation of Cal 27 led to a decrease in phosphorylated p53 and β-catenin and higher PI3K compared to LPS only stimulated cells (p ≤ 0.001). Combined bacterial antigen stimulation results in increased proliferation of Cal 27 cells due to lowering of tumor suppressor proteins and increased tumor proliferation-related proteins.
    Type of Medium: Online Resource
    ISSN: 2613-4950 , 2613-4950
    Language: Unknown
    Publisher: Science Repository OU
    Publication Date: 2021
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  • 2
    Online Resource
    Online Resource
    Elsevier BV ; 1986
    In:  Chemical Physics Letters Vol. 124, No. 6 ( 1986-03), p. 527-530
    In: Chemical Physics Letters, Elsevier BV, Vol. 124, No. 6 ( 1986-03), p. 527-530
    Type of Medium: Online Resource
    ISSN: 0009-2614
    Language: English
    Publisher: Elsevier BV
    Publication Date: 1986
    detail.hit.zdb_id: 1466293-0
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  • 3
    In: Gene, Elsevier BV, Vol. 346 ( 2005-2), p. 71-81
    Type of Medium: Online Resource
    ISSN: 0378-1119
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2005
    detail.hit.zdb_id: 1491012-3
    SSG: 12
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  • 4
    Online Resource
    Online Resource
    CSIRO Publishing ; 2018
    In:  Australian Journal of Chemistry Vol. 71, No. 12 ( 2018), p. 917-
    In: Australian Journal of Chemistry, CSIRO Publishing, Vol. 71, No. 12 ( 2018), p. 917-
    Abstract: Sir Derek Barton’s seminal work on steroid conformational analysis opened up a new era of enquiry into how the preferred conformation of any molecule could have profound effects on its physical–chemical properties and activities. Conformation-based effects on molecular activity and reactivity continue to manifest, with one key area of investigation currently focussed on conformational entropy in driving protein–ligand interactions. Carrying on from Barton’s initial insight on natural product conformational properties, new questions now address how conformational flexibility within a bioactive natural product structural framework (reasonable chaos), can be directed to confer dynamically new protein–ligand interactions beyond the basic lock–key model (imaginative order). Here we summarise our work on exploring conformational diversity from fluorinated natural product fragments, and how this approach of conformation-coupled diversity-oriented synthesis can be used to iteratively derive ligands with enhanced specificity against highly homologous protein domains. Our results demonstrate that the conformation entropic states of highly conserved protein domains differ significantly, and this conformational diversity, beyond primary sequence analysis, can be duly captured and exploited by natural-product derived ligands with complementary conformational dynamics for enhancing recognition specificity in drug lead discovery.
    Type of Medium: Online Resource
    ISSN: 0004-9425
    RVK:
    Language: English
    Publisher: CSIRO Publishing
    Publication Date: 2018
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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2016
    In:  BMC Genomics Vol. 17, No. S13 ( 2016-12)
    In: BMC Genomics, Springer Science and Business Media LLC, Vol. 17, No. S13 ( 2016-12)
    Type of Medium: Online Resource
    ISSN: 1471-2164
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 2041499-7
    SSG: 12
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  • 6
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2012
    In:  BMC Genomics Vol. 13, No. S7 ( 2012-12)
    In: BMC Genomics, Springer Science and Business Media LLC, Vol. 13, No. S7 ( 2012-12)
    Abstract: Teladorsagia circumcincta (order Strongylida) is an economically important parasitic nematode of small ruminants (including sheep and goats) in temperate climatic regions of the world. Improved insights into the molecular biology of this parasite could underpin alternative methods required to control this and related parasites, in order to circumvent major problems associated with anthelmintic resistance. The aims of the present study were to define the transcriptome of the adult stage of T. circumcincta and to infer the main pathways linked to molecules known to be expressed in this nematode. Since sheep develop acquired immunity against T. circumcincta , there is some potential for the development of a vaccine against this parasite. Hence, we infer excretory/secretory molecules for T. circumcincta as possible immunogens and vaccine candidates. Results A total of 407,357 ESTs were assembled yielding 39,852 putative gene sequences. Conceptual translation predicted 24,013 proteins, which were then subjected to detailed annotation which included pathway mapping of predicted proteins (including 112 excreted/secreted [ES] and 226 transmembrane peptides), domain analysis and GO annotation was carried out using InterProScan along with BLAST2GO. Further analysis was carried out for secretory signal peptides using SignalP and non-classical sec pathway using SecretomeP tools. For ES proteins, key pathways, including Fc epsilon RI, T cell receptor, and chemokine signalling as well as leukocyte transendothelial migration were inferred to be linked to immune responses, along with other pathways related to neurodegenerative diseases and infectious diseases, which warrant detailed future studies. KAAS could identify new and updated pathways like phagosome and protein processing in endoplasmic reticulum. Domain analysis for the assembled dataset revealed families of serine, cysteine and proteinase inhibitors which might represent targets for parasite intervention. InterProScan could identify GO terms pertaining to the extracellular region. Some of the important domain families identified included the SCP-like extracellular proteins which belong to the pathogenesis-related proteins (PRPs) superfamily along with C-type lectin, saposin-like proteins. The 'extracellular region' that corresponds to allergen V5/Tpx-1 related, considered important in parasite-host interactions, was also identified. Six cysteine motif (SXC1) proteins, transthyretin proteins, C-type lectins, activation-associated secreted proteins (ASPs), which could represent potential candidates for developing novel anthelmintics or vaccines were few other important findings. Of these, SXC1, protein kinase domain-containing protein, trypsin family protein, trypsin-like protease family member (TRY-1), putative major allergen and putative lipid binding protein were identified which have not been reported in the published T. circumcincta proteomics analysis. Detailed analysis of 6,058 raw EST sequences from dbEST revealed 315 putatively secreted proteins. Amongst them, C-type single domain activation associated secreted protein ASP3 precursor, activation-associated secreted proteins (ASP-like protein), cathepsin B-like cysteine protease, cathepsin L cysteine protease, cysteine protease, TransThyretin-Related and Venom-Allergen-like proteins were the key findings. Conclusions We have annotated a large dataset ESTs of T. circumcincta and undertaken detailed comparative bioinformatics analyses. The results provide a comprehensive insight into the molecular biology of this parasite and disease manifestation which provides potential focal point for future research. We identified a number of pathways responsible for immune response. This type of large-scale computational scanning could be coupled with proteomic and metabolomic studies of this parasite leading to novel therapeutic intervention and disease control strategies. We have also successfully affirmed the use of bioinformatics tools, for the study of ESTs, which could now serve as a benchmark for the development of new computational EST analysis pipelines.
    Type of Medium: Online Resource
    ISSN: 1471-2164
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
    detail.hit.zdb_id: 2041499-7
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2012
    In:  BMC Genomics Vol. 13, No. S7 ( 2012-12)
    In: BMC Genomics, Springer Science and Business Media LLC, Vol. 13, No. S7 ( 2012-12)
    Abstract: Helminths are important socio-economic organisms, responsible for causing major parasitic infections in humans, other animals and plants. These infections impose a significant public health and economic burden globally. Exceptionally, some helminth organisms like Caenorhabditis elegans are free-living in nature and serve as model organisms for studying parasitic infections. Excretory/secretory proteins play an important role in parasitic helminth infections which make these proteins attractive targets for therapeutic use. In the case of helminths, large volume of expressed sequence tags (ESTs) has been generated to understand parasitism at molecular level and for predicting excretory/secretory proteins for developing novel strategies to tackle parasitic infections. However, mostly predicted ES proteins are not available for further analysis and there is no repository available for such predicted ES proteins. Furthermore, predictions have, in the main, focussed on classical secretory pathways while it is well established that helminth parasites also utilise non-classical secretory pathways. Results We developed a free Helminth Secretome Database (HSD), which serves as a repository for ES proteins predicted using classical and non-classical secretory pathways, from EST data for 78 helminth species (64 nematodes, 7 trematodes and 7 cestodes) ranging from parasitic to free-living organisms. Approximately 0.9 million ESTs compiled from the largest EST database, dbEST were cleaned, assembled and analysed by different computational tools in our bioinformatics pipeline and predicted ES proteins were submitted to HSD. Conclusion We report the large-scale prediction and analysis of classically and non-classically secreted ES proteins from diverse helminth organisms. All the Unigenes (contigs and singletons) and excretory/secretory protein datasets generated from this analysis are freely available. A BLAST server is available at http://estexplorer.biolinfo.org/hsd , for checking the sequence similarity of new protein sequences against predicted helminth ES proteins.
    Type of Medium: Online Resource
    ISSN: 1471-2164
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
    detail.hit.zdb_id: 2041499-7
    SSG: 12
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  • 8
    In: BMC Genomics, Springer Science and Business Media LLC, Vol. 19, No. S2 ( 2018-5)
    Type of Medium: Online Resource
    ISSN: 1471-2164
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
    detail.hit.zdb_id: 2041499-7
    SSG: 12
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  • 9
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2011
    In:  Bioinformatics Vol. 27, No. 8 ( 2011-04-15), p. 1192-1193
    In: Bioinformatics, Oxford University Press (OUP), Vol. 27, No. 8 ( 2011-04-15), p. 1192-1193
    Abstract: Summary: Sequence–structure–function information is critical in understanding the mechanism of pMHC and TR/pMHC binding and recognition. A database for sequence–structure–function information on pMHC and TR/pMHC interactions, MHC-Peptide Interaction Database-TR version 2 (MPID-T2), is now available augmented with the latest PDB and IMGT/3Dstructure-DB data, advanced features and new parameters for the analysis of pMHC and TR/pMHC structures. Availability:  http://biolinfo.org/mpid-t2. Contact:  shoba.ranganathan@mq.edu.au Supplementary Information:  Supplementary data are available at Bioinformatics online.
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2011
    detail.hit.zdb_id: 1468345-3
    SSG: 12
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  • 10
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2007
    In:  Bioinformatics Vol. 23, No. 23 ( 2007-12-01), p. 3241-3243
    In: Bioinformatics, Oxford University Press (OUP), Vol. 23, No. 23 ( 2007-12-01), p. 3241-3243
    Abstract: Summary: Caspases belong to a unique class of cysteine proteases which function as critical effectors of apoptosis, inflammation and other important cellular processes. Caspases cleave substrates at specific tetrapeptide sites after a highly conserved aspartic acid residue. Prediction of such cleavage sites will complement structural and functional studies on substrates cleavage as well as discovery of new substrates. We have recently developed a support vector machines (SVM) method to address this issue. Our algorithm achieved an accuracy ranging from 81.25 to 97.92%, making it one of the best methods currently available. CASVM is the web server implementation of our SVM algorithms, written in Perl and hosted on a Linux platform. The server can be used for predicting non-canonical caspase substrate cleavage sites. We have also included a relational database containing experimentally verified caspase substrates retrievable using accession IDs, keywords or sequence similarity. Availability:  http://www.casbase.org/casvm/index.html Contact:  shoba.ranganathan@mq.edu.au Supplementary information:  http://www.casbase.org/casvm/help/index.html
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2007
    detail.hit.zdb_id: 1468345-3
    SSG: 12
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