Global Proteomics Conference

Scientific Program

Keynote Session:

Meetings International -  Conference Keynote Speaker Martin P Hornshaw photo

Martin P Hornshaw

Metabolon Inc., USA

Title: Precision metabolomicsTM for precision medicine: From population health to scientific wellness

Biography:

Martin P Hornshaw is the Director of Scientific Marketing at Metabolon Inc., USA. His goal is to educate the public in general as well as scientists specifically as to the power of mass spectrometry based metabolomics. He has many years of experience as a Scientist and of managing scientists working with the ‘mass spec OMICS’ of metabolomics, lipidomics and proteomics as well as clinical and diagnostic applications of mass spectrometry.

Abstract:

We have heard much about genomic medicine but genotype does not equate to phenotype. A potential future of effective precision medicine requires not only estimates of lifetime risk of disease but also accurate measurement of phenotype: molecular phenotype. This will enable assessment of disease risk in the near term, disease progress, effect of intervention on disease progression and so on. Precision Metabolomics™ enables measurement of molecular phenotype in the form of the assessment of an individual’s overall metabolism and changes to metabolism, not just specific, discrete metabolite measurements, in samples such as plasma, urine and tissue. When utilized in a ‘systems medicine’ approach metabolomics becomes a powerful indicator of health and disease. A pragmatic systems medicine approach would be to merge genomics data with large scale phenotypic measurements such as metabolomics, proteomics and imaging. The global metabolomics platform developed over the last15 years by metabolon and its use in recent years in population health studies and applying knowledge of metabolism to precision medicine research will be discussed. These areas include diagnosis of inherited metabolic disease, undiagnosed illness, assessment of penetrance, drug toxicity and ‘scientific wellness’.

Meetings International -  Conference Keynote Speaker Abdellah Salhi photo

Abdellah Salhi

University of Essex, UK

Title: Protein sequence detection: Recent developments and a new algorithm

Biography:

Abdellah Salhi is a Professor of Operational Research in the Department of Mathematical Science of Essex University, UK. He has obtained his PhD on Interior-Point Methods from the University of Aston in Birmingham, UK. His research interests are in the design, analysis, implementation and application of OR algorithms. He has led a number of research projects and contributes to the ESRC funded Business and Local Government Data Research Centre. He has published over 80 peer-reviewed papers. He has worked as the Head of the Department of Mathematical Sciences from 2010 t0 2016.

Abstract:

There is a flurry of algorithms for sequence detection and analysis aimed particularly at proteomics. These algorithms almost invariably try to measure the similarity between sequences of symbols drawn from finite sets of such symbols but with different cardinalities. They are in two broad classes: deterministic and stochastic. Deterministic algorithms are often hard to implement and are slow in practice. Stochastic algorithms, on the other hand, are relatively easier to implement and are efficient. However, they do not guarantee to find the correct solution even when it exists. This greatly reduces their applicability particularly where it is essential to know the exact solution as in medical situations. The inherent uncertainty in the outcomes of non-deterministic approaches is exacerbated by the need to arbitrarily set a number of parameters on which they depend. Default values of these parameters are often inappropriate outside the context in which they were estimated. There is, therefore, room for deterministic algorithms particularly when the time constraint is soft. In my talk, I will highlight the limitations of stochastics algorithms and illustrate them on probably the most prominent genomics search tool, namely the Basic Local Search Tool or BLAST. We then present our algorithm which is deterministic and has a strong mathematical basis. Furthermore, we will show that it is easy to understand and implement. We illustrate it on shotgun proteomics data and compare it with a number of other well-known sequence comparison algorithms such as the Needleman-Wunch and Smith-Waterman algorithms.

 

Meetings International -  Conference Keynote Speaker Anas M Abdel Rahman photo

Anas M Abdel Rahman

King Faisal Specialist Hospital and Research Center, KSA

Title: Development and validation of targeted metabolomics for clinical applications

Biography:

Anas M Abdel Rahman has completed his PhD in Bioanalytical Chemistry in Proteomics at Memorial University of Newfoundland, Canada. In 2014, he was appointed as an Associate Scientist at the Research Center of King Faisal Specialist Hospital and as an Assistant Professor at School of Medicine at Al Faisal University. His current scientific interests are related to signaling pathways controlling the metabolic reprogramming in cancer. He has several publications in the field of proteomics and metabolomics.

Abstract:

Metabolome, representing a vast array of analytes, is the ultimate functional equivalent of the genome and can be studied through small molecules (<1500 Da) identification and quantification. The global metabolome influences the individual phenotype through environment and clinical interventions. Metabolomics has been shown to identify relevant biomarkers responsible for/or associated with complex phenotypes in diverse biological systems. Combining metabolomics with genomics, transcriptomics and proteomics studies provides a higher level of understanding of the mechanism and the pathophysiology of many diseases and related clinical interventions. Metabolomics plays a major role in clinical practice as it represents >95% of the clinical laboratories routine work load. However, many of these metabolites require different analytical platforms and many clinically relevant metabolites are still not amenable to detection using routinely available assays. Mass spectrometry (MS) coupled with liquid chromatography (LC) is a robust and important analytical tool, where two almost universal techniques merge to accommodate the chemical diversity of the metabolome. Herein, we introduce the establishment of a comprehensive targeted metabolomics method for a panel of 225 metabolites using liquid chromatography tandem mass spectrometry. The sensitivity, reproducibility and molecular stability of each targeted metabolite were assessed under experimental conditions. Quantification of metabolites by peak area was linear, with minimal deviation (R2=0.98). Inter and intraday precision had an average coefficient of variation <20%. The method reported here is robust for the extraction of the maximum number of metabolites from different types of tissues and bio-fluids.

Meetings International -  Conference Keynote Speaker Anas M Abdel Rahman photo

Anas M Abdel Rahman

King Faisal Specialist Hospital and Research Center (KFSHRC), KSA

Title: Development and validation of targeted metabolomics for clinical applications

Biography:

Anas M Abdel Rahman has completed his PhD in Bioanalytical Chemistry in Proteomics at Memorial University of Newfoundland, Canada. In 2014, he was appointed as an Associate Scientist at the Research Center of King Faisal Specialist Hospital and as an Assistant Professor at School of Medicine at Al Faisal University. His current scientific interests are related to signaling pathways controlling the metabolic reprogramming in cancer. He has several publications in the field of proteomics and metabolomics.

Abstract:

Metabolome, representing a vast array of analytes, is the ultimate functional equivalent of the genome and can be studied through small molecules (<1500 Da) identification and quantification. The global metabolome influences the individual phenotype through environment and clinical interventions. Metabolomics has been shown to identify relevant biomarkers responsible for/or associated with complex phenotypes in diverse biological systems. Combining metabolomics with genomics, transcriptomics and proteomics studies provides a higher level of understanding of the mechanism and the pathophysiology of many diseases and related clinical interventions. Metabolomics plays a major role in clinical practice as it represents >95% of the clinical laboratories routine work load. However, many of these metabolites require different analytical platforms and many clinically relevant metabolites are still not amenable to detection using routinely available assays. Mass spectrometry (MS) coupled with liquid chromatography (LC) is a robust and important analytical tool, where two almost universal techniques merge to accommodate the chemical diversity of the metabolome. Herein, we introduce the establishment of a comprehensive targeted metabolomics method for a panel of 225 metabolites using liquid chromatography tandem mass spectrometry. The sensitivity, reproducibility and molecular stability of each targeted metabolite were assessed under experimental conditions. Quantification of metabolites by peak area was linear, with minimal deviation (R2=0.98). Inter and intraday precision had an average coefficient of variation <20%. The method reported here is robust for the extraction of the maximum number of metabolites from different types of tissues and bio-fluids.

Oral Session 1:

  • Biomedical Sciences In Proteomics |Metabolic Disorders & Metabolomics| Chemical Proteomics & Profiling Drug Targets| Analytical Proteomics & Genomics
Speaker

Chair

Anas M Abdel Rahman

King Faisal Specialist Hospital and Research Center (KFSHRC), KSA

Meetings International -  Conference Keynote Speaker Mohammed Alaidarous photo

Mohammed Alaidarous

Majmaah University, KSA

Title: The Screening of novel inhibitors against Leishmania donovani calcium ion channel to fight Leishmaniasis

Biography:

Mohammed Alaidarous has received his PhD in Biochemistry from the University of Queensland, Australia in 2014. Presently he is an Assistant Professor in the Department of Medical Laboratory Sciences at Majmaah University in Saudi Arabia. His research interest is in understanding the molecular mechanism behind microbial pathogenesis by performing protein structural studies and has interest in structure-based drug and vaccine design.

Abstract:

Leishmania is an intracellular protozoan parasite which causes Leishmaniasis, a global health problem affecting millions of people throughout 89 different countries in the world. The current treatment which includes use of amphotericin B, antimonials and others has major drawbacks due to toxicity, resistance and extraordinary high cost. So there is an urgent need of development of new drug targets to fight against leishmaniasis. In this regard we have selected Leishmania donovani Ca2+ ion channel (Ld-CC) as potential drug target. Ld-CC regulates concentration of Ca2+ ions which is involved in several functions like flagellar motion, mitochondrial oxidative metabolism and entry inside the macrophages. Since Ld-CC has not been characterized yet, we performed homology modeling of Leishmania donovani Ca2+ ion channel (Ld-CC) and docking studies of ligand library against this channel. 542 compound library of National Cancer Institute (NCI) diversity 3 dataset selected for screening studies. The ligands ZINC17287336 and ZINC29590262 were selected as best energy conformers because they show highest binding affinity towards its target (Ld-CC). They interact with the active site residues in the pocket of Ld-CC which suggests that the docked conformations are good and acceptable. Moreover these two selected compounds also have relatively high binding affinity than nifedipine and verapamil, known human calcium channel blockers which had been reported to have mild anti-leishmanial activity. Among these two top screened inhibitors the ligand ZINC29590262 shows poor binding affinity towards the Human voltage-dependent L-type calcium channel subunit alpha-1C in comparison to the Ld-CC. Therefore we proposed this ligand as the best inhibitor which shows 40% more binding affinity with Ld-CC than the human-VDCC. These results suggest that our screened ligand ZINC29590262 could act as novel drug and may show much better anti-leishmanial activity.

Meetings International -  Conference Keynote Speaker Minnie Jacob photo

Minnie Jacob

King Faisal Specialist Hospital and Research Center (KFSHRC), KSA

Title: Biomarker and therapeutic target discovery in DOCK8 deficiency

Biography:

Minnie Jacob works at the Newborn Screening and Biochemical Genetics Lab (NSBGL). She is currently pursuing her PhD at James Cook University, Australia. She is interested in metabolomics biomarker discovery in several Hyper IgE syndromes and in the Inborn Error of Metabolism (IEM). She has several publications to her credit.

Abstract:

Primary immunodeficiency (PID), a rare group of genetic disorders, is characterized by increased susceptibility to various infections, growth failure, eczema and malignancy. Hyper-IgE Syndromes (HIES) are a heterogeneous group of heritable inborn errors of immune function and include deficiencies in DOCK8, PGM3, STAT3 and severe atopic dermatitis. Lymphoblastoid cell lines were established from patients with HIES. Comprehensive “multi-OMICs” profiling using LC-MS/MS (metabolomics, proteomics), and RNA-Seq (transcriptomics) were performed on these cell lines. Multi-OMICs data was analyzed using differential expression, Ingenuity Pathway Analysis (IPA) as well as the Genomatix Pathway system tool which creates a network functionally related genes. Multiple canonical pathways, especially EIF2 signaling,       P13/AKT signaling, epithelial adherences junction signaling and its remodeling, protein ubiquitination pathway, glycolysis as well as pathways of pyrimidine ribonucleotides were significantly perturbed with an impact on cellular growth and proliferation; amino Acid metabolism; DNA replication, recombination, and repair. Adenosine and homocysteine were most up-regulated while acetyl-L-carnitine, glutathione and several pyrimidine ribonucleotides. Infectious diseases and cancer were the top diseases identified by IPA analysis with MYC, 5-FU and sirolimus as the upstream regulators. Several interacting immune-modulators including IL6, 7, 17 and IFNG. DOCK8, STAT3 and ARHGEF2 isoforms were differentially expressed and appeared to be disease specific. Combined “multi-OMICs” analysis in DOCK8 deficiency identified apparently unique perturbations in multiple cellular processes and pathways leading to predisposition to infection and cancer.

Meetings International -  Conference Keynote Speaker Rashmi Rana photo

Rashmi Rana

Sir Ganaga Ram Hospital, India

Title: Identification of the glycolytic pathway enzymes as potential biomarkers of male infertility

Biography:

Rashmi Tomar Rana working as a Scientist in Department of Research at Sir Ganga Ram Hospital (SGRH), New Delhi, India. And she worked as Research Associate III  at  Defense Institute of Physiology and Allied Sciences, DRDO, Delhi, India. Her research interest are in Biomarker Discovery; proteomics and Nanomedicine

Abstract:

Poor sperm motility remains predominantly a clinical sign of infertility, rather than a true diagnosis of the cause of infertility. Considering that sperm motility is one of the essential factors for normal fertility, research on proteins or protein functions related to sperm motility is sparse. However, our current understanding of spermatozoa, including their different physiological and pathological aspects, is still limited and not well defined. Therefore, to explore the biological display of the human genome, the physiological functions of each protein should be understood first. Proteomics involves the comprehensive study of proteins with their particular structural and functional aspects. As such, proteomics has the potential to transform our understanding of how mature sperm cells work. Hence, we proposed to identify all the protein molecules that differ in the normal and non-motile conditions of sperm using proteomics methods and validated by immunocytochemistry. The diagnosis of asthenozoospemia was made in the andrology lab of the department of reproductive biology when the sperm motility was observed to be less than 20% as per WHO recommendations. 50 samples each of non-motile and 50 normal samples of semen were used in this study. Proteomics analysis of asthnozoospermia and fertile individuals were done using standard protocol. After identification of proteins were validated by immunocytochemistry. Our results and reports from others suggest that mammalian spermatozoa need local ATP production for flagellar movement and control of the acrosomal reaction. Hence, we demonstrate that glycolysis is very important for human sperm motility. Glyceraldehyde-3-Phosphate dehydrogenase (GAPDH), Enolase and Pyruvate Kinase (PK) can serve as potential targets for the development of biomarkers and can be used as diagnostic indicators and their potential implications to assist fertility or to develop a male contraceptive strategy.

Meetings International -  Conference Keynote Speaker Abdellah Salhi photo

Abdellah Salhi

University of Essex, UK

Title: The protein folding problem: An optimization approach

Biography:

Abdellah Salhi is a Professor of Operational Research in the Department of Mathematical Science of Essex University, UK. He has obtained his PhD in Interior-Point Methods from the University of Aston in Birmingham, UK. His research interests are in the design, analysis, implementation and application of OR algorithms. He has led a number of research projects, and contributes to the ESRC funded Business and Local Government Data Research Centre. He has published over 80 peer-reviewed papers.

Abstract:

A protein is a sequence of amino-acids which forms a long and thin string-like molecule. This string twists and turns to fold into a ball that is suspended within the gel-like cell cytoplasm, for instance. Different proteins fold differently. Moreover, folding is consistent with a protein giving it a specific ball shape which determines its function. This is one of the most prominent cases where form dictates function. Predicting the 3D structure into which a sequence of amino-acids will fold is important. In fact, that is the so called protein folding problem or PFP. To illustrate, we are given the sequence of amino-acids ITIHSILDWI EDNLESPLSL EKVSERSGYS KWHLQRMFKK ETGHSLQYI RSRKMTEIAQ KLKESNEPIL YLAERYGFES QQTLTRFKN YFDVPPHKYR MTNMQGESRF LHPLNHYNS MTMSRRNTDA. The objective of this talk is to look at the problem of structure prediction, formulate it and highlight the difficulties and recent advances in its solution with some ideas for further research.

Meetings International -  Conference Keynote Speaker Asad U Khan photo

Asad U Khan

Aligarh Muslim University, India

Title: Structural insight of NDM-1: Understanding functional state of protein

Biography:

Asad U Khan is a Molecular Biologist, completed his graduation from Biochemistry Department, Aligarh Muslim University, India and Post-Doctorate from RUTGERS, USA. Currently he is a Professor in the Interdisciplinary Biotechnology Unit, AMU, India. He is a Member of Editorial Board of a number of international journals and has over 169 research articles to his credit. He is also a Member of several international grant review committees and elected Member of Royal Society of Chemistry.

Abstract:

New Delhi metallo-b-lactamase-1 (NDM-1) is expressed by various members of Enterobacteriaceae as a defense mechanism to hydrolyze b-lactam antibiotics. Despite various studies showing the significance of active site residues in the catalytic mechanism, there is paucity of reports addressing the role of non-active site residues in the structure and function of NDM-1. Here, we investigated the significance of non-active site residue Trp-93 in the structure and function of NDM-1. We cloned blaNDM-1 from E. cloacae clinical strain (EC-15) and introduced Trp93Ala mutation by PCR based site-directed mutagenesis. Proteins were expressed and purified to homogeneity by affinity chromatography. The MICs of Trp93Ala mutant were reduced by 4-8 folds against ampicillin, cefotaxime, ceftazidime, cefoxitin, imipenem and meropenem. The poor hydrolytic activity of Trp93Ala mutant was also reflected by its reduced catalytic efficiency. The overall catalytic efficiency of Trp93Ala was reduced by 40-55% (Km was reduced while kcat was similar to that of wtNDM-1). Heat-induced denaturation showed that ΔGDo and Tm of Trp93Ala mutant was reduced by 1.8 kcal/mol and 4.8 oC, respectively. Far-UV CD analysis showed that the α-helical content of Trp93Ala mutant was reduced by 2.9 %. The decrease in stability and catalytic efficiency of Trp93Ala mutant was due to the loss of two hydrogen bonds with Ser-63 and Val-73 and hydrophobic interactions with Leu-65, Val-73, Gln-123 and Asp-124. The study provides an insight into the role of non-active site amino acid residues in the hydrolytic mechanism of NDM-1.

Meetings International -  Conference Keynote Speaker Sanjeeva Srivastava photo

Sanjeeva Srivastava

Indian Institute of Technology Bombay, India

Title: Tissue proteomic alterations of colon adenocarcinoma

Biography:

Sanjeeva Srivastava is an Associate Professor and Group Leader of Proteomics Laboratory at Indian Institute of Technology Bombay, India. He has obtained his PhD from the University of Alberta and Post-doctorate from the Harvard Medical School in the area of Proteomics, Stress Physiology and has specialized expertise in applications of data enabled sciences in global health, developing country and resource limited settings.

Abstract:

Introduction & Objectives: Adenocarcinomas are the cancers originating from the gland forming cells of the colon and rectal lining and are known to be the most common type of colorectal cancer. The current diagnosis options for colorectal cancers are limited to biopsy, stool tests and other laboratory tests, barium enema based imaging and other imaging techniques, colonoscopy and other endoscopic procedures which are time consuming. In this study, we used proteomics approach with an aim to identify protein biomarkers which can aid in early detection of colon adenocarcinomas to be precise.

Methods: Proteins from tumor tissue of colon adenocarcinoma subjects (n=11) and their matched controls were subjected to 4-plex iTRAQ labeling followed by off-gel fractionation prior to LC-MS/MS run. The mass spectrometry data were analyzed independently using two different analysis software: Spectrum mill (SM) and Trans proteome pipeline (TPP). The proteins identified using either SM and/or TPP were subjected to pathway analysis using the database for annotation, visualization and integrated discovery (DAVID) v6.8 and the proteins common between the two analyses were compared with the data from CPTAC portal and human protein atlas. The expression level of the shortlisted panel of proteins was studied in brain cancers as a non-colon adenocarcinoma control group and validated using MRM approach.

Results: A list of 285 unique proteins was identified to be significantly dys-regulated in colon adenocarcinoma as compared to its matched controls. These proteins were found to be involved in glycolysis, pentose phosphate pathway, biosynthesis of amino acids, protein processing, spliceosome, proteosome, focal adhesion and proteoglycans in cancer. 94 of the 285 proteins were identified by both SM and TPP. 34 of these 94 proteins were found to be dysregulated with same trend as that in data reported on CPTAC portal and 9 of these 34 proteins were validated using MRM approach. Further, to shortlist the proteins specific to colon adenocarcinoma, the list of 34 proteins was compared for their expression levels in brain tumors and 10 proteins were found to be dysregulated with same trend in colon adenocarcinoma vs. its controls as that in colon adenocarcinoma vs. brain tumors.

Conclusion: The proteins identified from this study could be validated further to investigate the role of these proteins as potential biomarkers for early detection of colon adenocarcinoma.

Keynote Session:

Oral Session 1:

  • Panel discussion and B2B networking