Displaying publications 1 - 20 of 4038 in total

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  1. Mark JKK, Lim CSY, Nordin F, Tye GJ
    Mol Biol Rep, 2022 Nov;49(11):10593-10608.
    PMID: 35674877 DOI: 10.1007/s11033-022-07651-3
    BACKGROUND: Antibodies have proven to be remarkably successful for biomedical applications. They play important roles in epidemiology and medicine from diagnostics of diseases to therapeutics, treating diseases from incessant chronic diseases such as rheumatology to pandemic outbreaks. With no end in sight for the demand for antibody products, optimizations and new techniques must be expanded to accommodate this.

    METHODS AND RESULTS: This review discusses optimizations and techniques for antibody production through choice of discovery platforms, expression systems, cell culture mediums, and other strategies to increase expression yield. Each system has its own merits and demerits, and the strategy chosen is critical in addressing various biological aspects.

    CONCLUSIONS: There is still insufficient evidence to validate the efficacy of some of these techniques, and further research is needed to consolidate these industrial production systems. There is no doubt that more strategies, systems, and pipelines will contribute to enhance biopharmaceutical production.

    Matched MeSH terms: Proteins*
  2. Ma XR, Sim EU, Ling TY, Tiong TS, Subramaniam SK, Khoo AS
    Malays J Med Sci, 2012 Oct;19(4):23-30.
    PMID: 23613646 MyJurnal
    Ribosomal proteins are traditionally associated with protein biosynthesis until recent studies that implicated their extraribosomal functions in human diseases and cancers. Our previous studies using GeneFishing™ DEG method and microarray revealed underexpression of three ribosomal protein genes, RPS26, RPS27, and RPL32 in cancer of the nasopharynx. Herein, we investigated the expression pattern and nucleotide sequence integrity of these genes in nasopharyngeal carcinoma to further delineate their involvement in tumourigenesis. The relationship of expression level with clinicopathologic factors was also statistically studied.
    Matched MeSH terms: Ribosomal Proteins*
  3. Anbu P, Gopinath SCB, Chaulagain BP, Lakshmipriya T
    Biomed Res Int, 2017 03 28;2017:2195808.
    PMID: 28459056 DOI: 10.1155/2017/2195808
    Matched MeSH terms: Bacterial Proteins/therapeutic use*; Bacterial Proteins/chemistry*; Fungal Proteins/therapeutic use*; Fungal Proteins/chemistry*
  4. Tan JS, Ong Kc KC, Rhodes A
    Malays J Pathol, 2016 Aug;38(2):75-82.
    PMID: 27568663 MyJurnal
    Heat shock proteins (HSPs) are a family of evolutionary conserved proteins that work as molecular chaperones for cellular proteins essential for cell viability and growth as well as having numerous cyto-protective roles. They are sub-categorised based on their molecular weights; amongst which some of the most extensively studied are the HSP90 and HSP70 families. Important members of these two families; Heat shock proteins 70 and heat shock proteins 90 (Hsp70/90), are the glucose regulated proteins (GRP). These stress-inducible chaperones possess distinct roles from that of the other HSPs, residing mostly in the endoplasmic reticulum and mitochondria, but they can also be translocated to other cellular locations. Their ability in adapting to stress conditions in the tumour microenvironment suggests novel functions in cancer. GRPs have been implicated in many crucial steps of carcinogenesis to include stabilization of oncogenic proteins, induction of tumour angiogenesis, inhibition of apoptosis and replicative senescence, and promotion of invasion and metastasis.
    Matched MeSH terms: Heat-Shock Proteins/metabolism*; Membrane Proteins/metabolism*; HSP70 Heat-Shock Proteins/metabolism*
  5. Ngo TA, Dinh H, Nguyen TM, Liew FF, Nakata E, Morii T
    Chem Commun (Camb), 2019 Oct 15;55(83):12428-12446.
    PMID: 31576822 DOI: 10.1039/c9cc04661e
    DNA is an attractive molecular building block to construct nanoscale structures for a variety of applications. In addition to their structure and function, modification the DNA nanostructures by other molecules opens almost unlimited possibilities for producing functional DNA-based architectures. Among the molecules to functionalize DNA nanostructures, proteins are one of the most attractive candidates due to their vast functional variations. DNA nanostructures loaded with various types of proteins hold promise for applications in the life and material sciences. When loading proteins of interest on DNA nanostructures, the nanostructures by themselves act as scaffolds to specifically control the location and number of protein molecules. The methods to arrange proteins of interest on DNA scaffolds at high yields while retaining their activity are still the most demanding task in constructing usable protein-modified DNA nanostructures. Here, we provide an overview of the existing methods applied for assembling proteins of interest on DNA scaffolds. The assembling methods were categorized into two main classes, noncovalent and covalent conjugation, with both showing pros and cons. The recent advance of DNA-binding adaptor mediated assembly of proteins on the DNA scaffolds is highlighted and discussed in connection with the future perspectives of protein assembled DNA nanoarchitectures.
    Matched MeSH terms: Proteins/metabolism*; Proteins/chemistry
  6. Ishak MI, Jenkins J, Kulkarni S, Keller TF, Briscoe WH, Nobbs AH, et al.
    J Colloid Interface Sci, 2021 Dec 15;604:91-103.
    PMID: 34265695 DOI: 10.1016/j.jcis.2021.06.173
    Nanopillared surfaces have emerged as a promising strategy to combat bacterial infections on medical devices. However, the mechanisms that underpin nanopillar-induced rupture of the bacterial cell membrane remain speculative. In this study, we have tested three medically relevant poly(ethylene terephthalate) (PET) nanopillared-surfaces with well-defined nanotopographies against both Gram-negative and Gram-positive bacteria. Focused ion beam scanning electron microscopy (FIB-SEM) and contact mechanics analysis were utilised to understand the nanobiophysical response of the bacterial cell envelope to a single nanopillar. Given their importance to bacterial adhesion, the contribution of bacterial surface proteins to nanotopography-mediated cell envelope damage was also investigated. We found that, whilst cell envelope deformation was affected by the nanopillar tip diameter, the nanopillar density affected bacterial metabolic activities. Moreover, three different types of bacterial cell envelope deformation were observed upon contact of bacteria with the nanopillared surfaces. These were attributed to bacterial responses to cell wall stresses resulting from the high intrinsic pressure caused by the engagement of nanopillars by bacterial surface proteins. Such influences of bacterial surface proteins on the antibacterial action of nanopillars have not been previously reported. Our findings will be valuable to the improved design and fabrication of effective antibacterial surfaces.
    Matched MeSH terms: Bacterial Proteins*; Membrane Proteins
  7. Marzuki, R.M., Mohd, M.A., Nawawi, A.H.M., Redzwan, N.M.
    MyJurnal
    Single Stock Futures (SSFs) was introduced in Bursa Malaysia on 28th April 2006. There have been many studies on derivative instruments in Malaysia; however, none is on SSFs. Various statistical methods have been used to analyse the SSFs and its spot returns, namely Descriptive Statistics, Unit Root test, VAR, Johansen and Juselius Co-integration test, Granger Causality test, Variance Decomposition test, VECM, and GARCH model. This study analyses the SSFs and spot returns of eight companies listed in Bursa Malaysia. It found that Berjaya Sports Toto Bhd and Genting Bhd have no long-run and short-run causality (Genting Bhd has bi-directional causality) while AirAsia Bhd and AMMB Holdings Bhd’s spot returns’ volatility decreased after the introduction of SSFs; it increased in the other seven companies. In addition, only AMMB Holdings Bhd futures return did not affect its spot return. Bursa Malaysia Bhd and RHB Capital Bhd spot returns lead their futures returns
    Matched MeSH terms: Nuclear Proteins; Proto-Oncogene Proteins; Tumor Suppressor Proteins
  8. Sillitoe I, Andreeva A, Blundell TL, Buchan DWA, Finn RD, Gough J, et al.
    Nucleic Acids Res, 2020 01 08;48(D1):D314-D319.
    PMID: 31733063 DOI: 10.1093/nar/gkz967
    Genome3D (https://www.genome3d.eu) is a freely available resource that provides consensus structural annotations for representative protein sequences taken from a selection of model organisms. Since the last NAR update in 2015, the method of data submission has been overhauled, with annotations now being 'pushed' to the database via an API. As a result, contributing groups are now able to manage their own structural annotations, making the resource more flexible and maintainable. The new submission protocol brings a number of additional benefits including: providing instant validation of data and avoiding the requirement to synchronise releases between resources. It also makes it possible to implement the submission of these structural annotations as an automated part of existing internal workflows. In turn, these improvements facilitate Genome3D being opened up to new prediction algorithms and groups. For the latest release of Genome3D (v2.1), the underlying dataset of sequences used as prediction targets has been updated using the latest reference proteomes available in UniProtKB. A number of new reference proteomes have also been added of particular interest to the wider scientific community: cow, pig, wheat and mycobacterium tuberculosis. These additions, along with improvements to the underlying predictions from contributing resources, has ensured that the number of annotations in Genome3D has nearly doubled since the last NAR update article. The new API has also been used to facilitate the dissemination of Genome3D data into InterPro, thereby widening the visibility of both the annotation data and annotation algorithms.
    Matched MeSH terms: Proteins/classification; Proteins/genetics; Proteins/chemistry*
  9. Rosedale JL
    Matched MeSH terms: Blood Proteins
  10. Abdullah AA, Lee YK, Chin SP, Lim SK, Lee VS, Othman R, et al.
    Curr Med Chem, 2020;27(30):4945-5036.
    PMID: 30514185 DOI: 10.2174/0929867326666181204155336
    To date, there is still no approved anti-dengue agent to treat dengue infection in the market. Although the only licensed dengue vaccine, Dengvaxia is available, its protective efficacy against serotypes 1 and 2 of dengue virus was reported to be lower than serotypes 3 and 4. Moreover, according to WHO, the risk of being hospitalized and having severe dengue increased in seronegative individuals after they received Dengvaxia vaccination. Nevertheless, various studies had been carried out in search of dengue virus inhibitors. These studies focused on the structural (C, prM, E) and non-structural proteins (NS1, NS2A, NS2B, NS3, NS4A, NS4B and NS5) of dengue virus as well as host factors as drug targets. Hence, this article provides an overall up-to-date review of the discovery of dengue virus inhibitors that are only targeting the structural and non-structural viral proteins as drug targets.
    Matched MeSH terms: Viral Nonstructural Proteins
  11. Kumar P, Ahmed MA, Abubakar AA, Hayat MN, Kaka U, Ajat M, et al.
    Meat Sci, 2023 Mar;197:109048.
    PMID: 36469986 DOI: 10.1016/j.meatsci.2022.109048
    Stress induces various physiological and biochemical alterations in the animal body, which are used to assess the stress status of animals. Blood profiles, serum hormones, enzymes, and physiological conditions such as body temperature, heart, and breathing rate of animals are the most commonly used stress biomarkers in the livestock sector. Previous exposure, genetics, stress adaptation, intensity, duration, and rearing practices result in wide intra- and inter-animal variations in the expression of various stress biomarkers. The use of meat proteomics by adequately analyzing the expression of various muscle proteins such as heat shock proteins (HSPs), acute phase proteins (APPs), texture, and tenderness biomarkers help predict meat quality and stress in animals before slaughter. Thus, there is a need to identify non-invasive, rapid, and accurate stress biomarkers that can objectively assess stress in animals. The present manuscript critically reviews various aspects of stress biomarkers in animals and their application in mitigating preslaughter stress in meat production.
    Matched MeSH terms: Heat-Shock Proteins*; Muscle Proteins/metabolism
  12. Sothivelr V, Hasan MY, Mohd Saffian S, Zainalabidin S, Ugusman A, Mahadi MK
    J Cardiovasc Pharmacol, 2022 Sep 01;80(3):393-406.
    PMID: 35767710 DOI: 10.1097/FJC.0000000000001305
    Several types of cardiovascular cells use microRNA-21 ( miR-21 ), which has been linked to cardioprotection. In this study, we systematically reviewed the results of published papers on the therapeutic effect of miR-21 for myocardial infarction. Studies described the cardioprotective effects of miR-21 to reduce infarct size by improving angiogenesis, antiapoptotic, and anti-inflammatory mechanisms. Results suggest that cardioprotective effects of miR-21 may work synergistically to prevent the deterioration of cardiac function during postischemia. However, there are other results that indicate that miR-21 positively regulates tissue fibrosis, potentially worsening a postischemic injury. The dual functionalities of miR-21 occur through the targeting of genes and signaling pathways, such as PTEN , PDCD4 , KBTBD7 , NOS3 , STRN , and Spry-1 . This review provides insights into the future advancement of safe miR-21 -based genetic therapy in the treatment of myocardial infarction.
    Matched MeSH terms: RNA-Binding Proteins/metabolism; Apoptosis Regulatory Proteins/metabolism
  13. Shen Ni L, Allaudin ZN, Mohd Lila MA, Othman AM, Othman FB
    BMC Cancer, 2013 Oct 21;13:488.
    PMID: 24144306 DOI: 10.1186/1471-2407-13-488
    BACKGROUND: Chicken Anemia Virus (CAV) VP3 protein (also known as Apoptin), a basic and proline-rich protein has a unique capability in inducing apoptosis in cancer cells but not in normal cells. Five truncated Apoptin proteins were analyzed to determine their selective ability to migrate into the nucleus of human breast adenocarcinoma MCF-7 cells for inducing apoptosis.

    METHODS: For identification of the minimal selective domain for apoptosis, the wild-type Apoptin gene had been reconstructed by PCR to generate segmental deletions at the N' terminal and linked with nuclear localization sites (NLS1 and NLS2). All the constructs were fused with maltose-binding protein gene and individually expressed by in vitro Rapid Translation System. Standardized dose of proteins were delivered into human breast adenocarcinoma MCF-7 cells and control human liver Chang cells by cytoplasmic microinjection, and subsequently observed for selective apoptosis effect.

    RESULTS: Three of the truncated Apoptin proteins with N-terminal deletions spanning amino acid 32-83 retained the cancer selective nature of wild-type Apoptin. The proteins were successfully translocated to the nucleus of MCF-7 cells initiating apoptosis, whereas non-toxic cytoplasmic retention was observed in normal Chang cells. Whilst these truncated proteins retained the tumour-specific death effector ability, the specificity for MCF-7 cells was lost in two other truncated proteins that harbor deletions at amino acid 1-31. The detection of apoptosing normal Chang cells and MCF-7 cells upon cytoplasmic microinjection of these proteins implicated a loss in Apoptin's signature targeting activity.

    CONCLUSIONS: Therefore, the critical stretch spanning amino acid 1-31 at the upstream of a known hydrophobic leucine-rich stretch (LRS) was strongly suggested as one of the prerequisite region in Apoptin for cancer targeting. Identification of this selective domain provides a platform for developing small targets to facilitating carrier-mediated-transport across cellular membrane, simultaneously promoting protein delivery for selective and effective breast cancer therapy.

    Matched MeSH terms: DNA-Binding Proteins; Recombinant Fusion Proteins/genetics; Recombinant Fusion Proteins/isolation & purification; Recombinant Fusion Proteins/metabolism; Recombinant Fusion Proteins/pharmacology; Viral Proteins; Capsid Proteins/genetics*; Capsid Proteins/isolation & purification; Capsid Proteins/metabolism*; Capsid Proteins/pharmacology; Maltose-Binding Proteins/genetics; Maltose-Binding Proteins/metabolism
  14. Tan CH, Show PL, Ooi CW, Ng EP, Lan JC, Ling TC
    Biotechnol J, 2015 Jan;10(1):31-44.
    PMID: 25273633 DOI: 10.1002/biot.201400301
    Microbial lipases are popular biocatalysts due to their ability to catalyse diverse reactions such as hydrolysis, esterification, and acidolysis. Lipases function efficiently on various substrates in aqueous and non-aqueous media. Lipases are chemo-, regio-, and enantio-specific, and are useful in various industries, including those manufacturing food, detergents, and pharmaceuticals. A large number of lipases from fungal and bacterial sources have been isolated and purified to homogeneity. This success is attributed to the development of both conventional and novel purification techniques. This review highlights the use of these techniques in lipase purification, including conventional techniques such as: (i) ammonium sulphate fractionation; (ii) ion-exchange; (iii) gel filtration and affinity chromatography; as well as novel techniques such as (iv) reverse micellar system; (v) membrane processes; (vi) immunopurification; (vi) aqueous two-phase system; and (vii) aqueous two-phase floatation. A summary of the purification schemes for various bacterial and fungal lipases are also provided.
    Matched MeSH terms: Bacterial Proteins/isolation & purification; Bacterial Proteins/metabolism; Bacterial Proteins/chemistry; Fungal Proteins/isolation & purification; Fungal Proteins/metabolism; Fungal Proteins/chemistry
  15. Iqbal MJ, Faye I, Samir BB, Said AM
    ScientificWorldJournal, 2014;2014:173869.
    PMID: 25045727 DOI: 10.1155/2014/173869
    Bioinformatics has been an emerging area of research for the last three decades. The ultimate aims of bioinformatics were to store and manage the biological data, and develop and analyze computational tools to enhance their understanding. The size of data accumulated under various sequencing projects is increasing exponentially, which presents difficulties for the experimental methods. To reduce the gap between newly sequenced protein and proteins with known functions, many computational techniques involving classification and clustering algorithms were proposed in the past. The classification of protein sequences into existing superfamilies is helpful in predicting the structure and function of large amount of newly discovered proteins. The existing classification results are unsatisfactory due to a huge size of features obtained through various feature encoding methods. In this work, a statistical metric-based feature selection technique has been proposed in order to reduce the size of the extracted feature vector. The proposed method of protein classification shows significant improvement in terms of performance measure metrics: accuracy, sensitivity, specificity, recall, F-measure, and so forth.
    Matched MeSH terms: Proteins/chemistry*
  16. Chong YH, Ho GS, Dewitt GF
    Med J Malaya, 1968 Dec;23(2):115-7.
    PMID: 4241496
    Matched MeSH terms: Blood Proteins/analysis*
  17. Low KO, Muhammad Mahadi N, Md Illias R
    Appl Microbiol Biotechnol, 2013 May;97(9):3811-26.
    PMID: 23529680 DOI: 10.1007/s00253-013-4831-z
    Escherichia coli-the powerhouse for recombinant protein production-is rapidly gaining status as a reliable and efficient host for secretory expression. An improved understanding of protein translocation processes and its mechanisms has inspired and accelerated the development of new tools and applications in this field and, in particular, a more efficient secretion signal. Several important characteristics and requirements are summarised for the design of a more efficient signal peptide for the production of recombinant proteins in E. coli. General approaches and strategies to optimise the signal peptide, including the selection and modification of the signal peptide components, are included. Several challenges in the secretory production of recombinant proteins are discussed, and research approaches designed to meet these challenges are proposed.
    Matched MeSH terms: Bacterial Proteins/genetics; Bacterial Proteins/metabolism*; Bacterial Proteins/secretion*; Recombinant Proteins/genetics; Recombinant Proteins/metabolism*; Recombinant Proteins/secretion*
  18. Marlia M. Hanafiah, Nan Hamiza Syazira Megat Mohamad, Nur Izzah Hamna Abd. Aziz
    Sains Malaysiana, 2018;47:1625-1634.
    Akumulasi logam berat dan bahan pencemar ke dalam ekosistem akuatik memberi impak negatif kepada alam sekitar dan organisma akuatik. Salvinia molesta dan Pistia stratiotes merupakan spesies yang mempunyai kadar pertumbuhan yang cepat dan berkemampuan dalam mengakumulasi logam berat dan menyerap nutrien menjadikan ia sesuai digunakan untuk merawat air sisa melalui kaedah bioteknologi iaitu fitoremediasi. Kajian ini dijalankan untuk menentukan kualiti air sisa kumbahan sebelum dan selepas rawatan menggunakan kaedah fitoremediasi. Selain itu, objektif kajian ini juga adalah untuk menilai keberkesanan Salvinia molesta dan Pistia stratiotes sebagai agen fitoremediasi bagi rawatan air sisa. Sampel tumbuhan akuatik berbeza berat iaitu 10, 20 dan 30 g diuji untuk rawatan tersebut. Ujian ANOVA satu hala menunjukkan perbezaan kadar pengurangan jumlah pepejal terampai dan ammoniakal nitrogen yang bererti (p<0.05) bagi 10, 20 dan 30 g Pistia stratiotes dan Salvinia molesta sepanjang kajian dijalankan iaitu daripada hari 0 sehingga hari ke-7. Keputusan kajian juga menunjukkan 30 dan 20 g Pistia stratiotes dan Salvinia molesta dapat menyingkirkan jumlah pepejal terampai dan ammoniakal nitrogen dengan lebih cepat berbanding berat tumbuhan 10 g. Ujian ANOVA satu hala juga tidak menunjukkan perbezaan yang bererti bagi kadar pengurangan jumlah pepejal terampai dan ammoniakal nitrogen antara Pistia stratiotes dan Salvinia molesta.
    Matched MeSH terms: Nerve Tissue Proteins; RNA-Binding Proteins
  19. Abu ML, Nooh HM, Oslan SN, Salleh AB
    BMC Biotechnol, 2017 Nov 10;17(1):78.
    PMID: 29126403 DOI: 10.1186/s12896-017-0397-7
    BACKGROUND: Pichia guilliermondii was found capable of expressing the recombinant thermostable lipase without methanol under the control of methanol dependent alcohol oxidase 1 promoter (AOXp 1). In this study, statistical approaches were employed for the screening and optimisation of physical conditions for T1 lipase production in P. guilliermondii.

    RESULT: The screening of six physical conditions by Plackett-Burman Design has identified pH, inoculum size and incubation time as exerting significant effects on lipase production. These three conditions were further optimised using, Box-Behnken Design of Response Surface Methodology, which predicted an optimum medium comprising pH 6, 24 h incubation time and 2% inoculum size. T1 lipase activity of 2.0 U/mL was produced with a biomass of OD600 23.0.

    CONCLUSION: The process of using RSM for optimisation yielded a 3-fold increase of T1 lipase over medium before optimisation. Therefore, this result has proven that T1 lipase can be produced at a higher yield in P. guilliermondii.

    Matched MeSH terms: Bacterial Proteins/genetics; Bacterial Proteins/metabolism*; Bacterial Proteins/chemistry; Recombinant Proteins/genetics; Recombinant Proteins/metabolism*; Recombinant Proteins/chemistry
  20. Subrahmanyam C
    Med J Malaya, 1966 Mar;20(3):234-9.
    PMID: 4223073
    Matched MeSH terms: Hemolysin Proteins/pharmacology*
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