Abidali Mohamedali

Mechanical stretch: physiological and pathological implications for human vascular endothelial cells

Vascular endothelial cells are subjected to hemodynamic forces such as mechanical stretch due to the pulsatile nature of blood flow. Mechanical stretch of different intensities is detected by mechanoreceptors on the cell surface which enables the conversion of external mechanical stimuli to biochemical signals in the cell, activating downstream signaling pathways. This activation may vary depending on whether the cell is exposed to physiological or pathological stretch intensities. Substantial stretch associated with normal physiological functioning is important in maintaining vascular homeostasis as it is involved in the regulation of cell structure, vascular angiogenesis, proliferation and control of vascular tone. However, the elevated pressure that occurs with hypertension exposes cells to excessive mechanical load, and this may lead to pathological consequences through the formation of reactive oxygen species, inflammation and/or apoptosis. These processes are activated by downstream signaling through various pathways that determine the fate of cells. Identification of the proteins involved in these processes may help elucidate novel mechanisms involved in vascular disease associated with pathological mechanical stretch and could provide new insight into therapeutic strategies aimed at countering the mechanisms’ negative effects.

Accelerating the search for the missing proteins in the human proteome

The Human Proteome Project (HPP) aims to discover high-stringency data for all proteins encoded by the human genome. Currently, ∼18% of the proteins in the human proteome (the missing proteins) do not have high-stringency evidence (for example, mass spectrometry) confirming their existence, while much additional information is available about many of these missing proteins. Here, we present MissingProteinPedia as a community resource to accelerate the discovery and understanding of these missing proteins.

A novel, cost-effective and efficient chicken egg IgY purification procedure

Chicken IgY antibodies have been touted to be a superior alternative to mammalian antibodies for use in various immunological, molecular biology and proteomics applications for several reasons. These include, but are not limited to, improved specificity due to maximum phylogenetic distance between host and recipient, cost effectiveness in maintaining commercial numbers of hens, IgY yield and the use of non-invasive methods used to isolate IgY from eggs as opposed to blood. Despite this, the routine use of IgY-based methodologies in the laboratory is not widespread. One reason for this reluctance may be derived from the difficulties and expense of isolating IgY antibodies from egg yolk in sufficient yield, with high purity at a realistic reasonable price. Here, we describe an extremely cost-effective (

Epithelial and Stromal Cell Urokinase Plasminogen Activator Receptor Expression Differentially Correlates with Survival in Rectal Cancer Stages B and C Patients

5USD per egg), rapid (within 5 h), efficient and optimised technique to isolate high yields (60 mg) of high purity (~80%) chicken IgY from egg yolks using the common plant gums pectin and κ-carrageenan in the presence of calcium chloride to delipidate egg yolk mixtures whilst maintaining IgY in solution and then ammonium sulphate to subsequently precipitate the resulting IgY antibodies to higher purity. Our data demonstrates that this technique results in a high yield and purity of IgY that is comparable (if not superior to) existing commercial IgY isolation kits. The method also allows the isolation of immunologically active IgY which can be used for further downstream immunotechnological processes. Furthermore, it can also be easily implemented in a standard well equipped laboratory, and may be scaled up to commercial quantities (i.e., thousands of eggs).

Is isolation of comprehensive human plasma peptidomes an achievable quest

Urokinase plasminogen activator receptor (uPAR) has been proposed as a potential prognostic factor for colorectal cancer (CRC) patient survival. However, CRC uPAR expression remains controversial, especially regarding cell types where uPAR is overexpressed (e.g., epithelium (uPARE) or stroma-associated cells (uPARS)) and associated prognostic relevance. In this study, two epitope-specific anti-uPAR monoclonal antibodies (MAbs) could discriminate expression of uPARE from uPARS and were used to examine this association with survival of stages B and C rectal cancer (RC) patients. Using immunohistochemistry, MAbs #3937 and R4 were used to discriminate uPARE from uPARS respectively in the central and invasive frontal regions of 170 stage B and 179 stage C RC specimens. Kaplan-Meier and Cox regression analyses were used to determine association with survival. uPAR expression occurred in both epithelial and stromal compartments with differential expression observed in many cases, indicating uPARE and uPARS have different cellular roles. In the central and invasive frontal regions, uPARE was adversely associated with overall stage B survival (HR = 1.9; p = 0.014 and HR = 1.5; p = 0.031, respectively) reproducing results from previous studies. uPARS at the invasive front was associated with longer stage C survival (HR = 0.6; p = 0.007), reflecting studies demonstrating that macrophage peritumoural accumulation is associated with longer survival. This study demonstrates that different uPAR epitopes should be considered as being expressed on different cell types during tumour progression and at different stages in RC. Understanding how uPARE and uPARS expression affects survival is anticipated to be a useful clinical prognostic marker of stages B and C RC.

Characterization of the interaction between heterodimeric αvβ6 integrin and urokinase plasminogen activator receptor (uPAR) using functional proteomics

The low molecular weight (LMW; <10kDa)* plasma peptidome has been considered a source of useful diagnostic biomarkers and potentially therapeutic molecules, as it contains many cytokines, peptide hormones, endogenous peptide products and potentially bioactive fragments derived from the parent proteome. The small size of the peptides allows them almost unrestricted vascular and interstitial access, and hence distribution across blood-brain barriers, tumour and other vascular permeability barriers. Therefore, the peptidome may carry specific signatures or fingerprints of an individuals health, wellbeing or disease status. This occurs primarily because of the advantage the peptidome has in being readily accessible in human blood and/or other biofluids. However, the co-expression of highly abundant proteins (>10kDa) and other factors present inherently in human plasma make direct analysis of the blood peptidome one of the most challenging tasks faced in contemporary analytical biochemistry. A comprehensive compendium of extraction and fractionation tools has been collected concerning the isolation and micromanipulation of peptides. However, the search for a reliable, accurate and reproducible single or combinatorial separation process for capturing and analysing the plasma peptidome remains a challenge. This review outlines current techniques used for the separation and detection of plasma peptides and suggests potential avenues for future investigation. This article is part of a Special Issue entitled: HUPO 2014.

Correlations between Integrin ανβ6 Expression and Clinico-Pathological Features in Stage B and Stage C Rectal Cancer

Urokinase plasminogen activator receptor (uPAR) and the epithelial integrin αvβ6 are thought to individually play critical roles in cancer metastasis. These observations have been highlighted by the recent discovery (by proteomics) of an interaction between these two molecules, which are also both implicated in the epithelial-mesenchymal transition (EMT) that facilitates escape of cells from tissue barriers and is a common signature of cancer metastases. In this study, orthogonal in cellulo and in vitro functional proteomic approaches were used to better characterize the uPAR·αvβ6 interaction. Proximity ligation assays (PLA) confirmed the uPAR·αvβ6 interaction on OVCA429 (ovarian cancer line) and four different colon cancer cell lines including positive controls in cells with de novo β6 subunit expression. PLA studies were then validated using peptide arrays, which also identified potential physical sites of uPAR interaction with αvβ6, as well as verifying interactions with other known uPAR ligands (e.g., uPA, vitronectin) and individual integrin subunits (i.e., αv, β1, β3, and β6 alone). Our data suggest that interaction with uPAR requires expression of the complete αβ heterodimer (e.g., αvβ6), not individual subunits (i.e., αv, β1, β3, or β6). Finally, using in silico structural analyses in concert with these functional proteomics studies, we propose and demonstrate that the most likely unique sites of interaction between αvβ6 and uPAR are located in uPAR domains II and III.

An improved method for the detection and enrichment of low-abundant membrane and lipid raft-residing proteins.

Integrin ανβ6 is highly expressed in a range of human cancers and frequently correlates with patient survival. This study examines correlations between ανβ6 expression and patient clinico-pathological features in Stage B and Stage C rectal cancer, including overall survival. Expression of ανβ6 was measured in 362 Stage B or C rectal cancer tissue samples at the tumour central region, invasive tumour front and adjacent non-neoplastic mucosa using immunohistochemistry. Distribution of ανβ6 was found to be significantly higher at the invasive front compared to central regions of the tumour (p<0.001) or adjacent non-neoplastic mucosa (p<0.001) suggesting ανβ6 plays a role in tumour cell invasion. However, integrin ανβ6 expression was not associated with clinico-pathological features or overall survival indicating it is not an independent prognostic marker differentiating Stage B or C rectal cancer. Previous ανβ6 studies have suggested the expression of ανβ6 is involved in the earlier stages (i.e. Stages A/B) of tumour progression rather than the later stages (i.e. Stages C/D). However, our study has revealed that in rectal cancer ανβ6 expression does not increase between Stages B and C, but may occur earlier, namely before or during Stage B cancer.

A Systematic Bioinformatics Approach to Identify High Quality Mass Spectrometry Data and Functionally Annotate Proteins and Proteomes

A high degree of optimisation is required in native co-immunoprecipitation (co-IP) experiments with added challenges for low-abundant membrane proteins and masking by IgG molecules. Although in vivo tagged-protein purification avoids the IgG masking problem, modifying the terminus of the protein may result in conformational and post-translational modification changes. In this paper, we propose a method which combines four key aspects to improve the solubility and enrichment of low-abundant plasma membrane proteins using the urokinase plasminogen activator receptor (uPAR) as an example. As this GPI-linked receptor predominantly resides in lipid rafts (LR), we used a modified RIPA lysis buffer containing the non-ionic detergent, octyl-glucoside which solubilizes LRs to extract uPAR. This is followed by a modified crosslinking co-IP which covalently crosslinks the antibodies to the beads. Crosslinking allowed for a significant increase in the detection of uPAR with minimal IgG contamination using on-bead digestion or acid elution followed by digestion and analysis on high-throughput one-dimensional (nanoLC) MS/MS instrument (AbSciex 5600). To the best of our knowledge, this method of isolation is the first to be done to increase the yield of a low-abundant membrane protein and may be useful for the purification of other non-raft and raft-residing membrane proteins.

De novo peptide sequencing: Deep mining of high-resolution mass spectrometry data

In the past decade, proteomics and mass spectrometry have taken tremendous strides forward, particularly in the life sciences, spurred on by rapid advances in technology resulting in generation and conglomeration of vast amounts of data. Though this has led to tremendous advancements in biology, the interpretation of the data poses serious challenges for many practitioners due to the immense size and complexity of the data. Furthermore, the lack of annotation means that a potential gold mine of relevant biological information may be hiding within this data. We present here a simple and intuitive workflow for the research community to investigate and mine this data, not only to extract relevant data but also to segregate usable, quality data to develop hypotheses for investigation and validation. We apply an MS evidence workflow for verifying peptides of proteins from ones own data as well as publicly available databases. We then integrate a suite of freely available bioinformatics analysis and annotation software tools to identify homologues and map putative functional signatures, gene ontology and biochemical pathways. We also provide an example of the functional annotation of missing proteins in human chromosome 7 data from the NeXtProt database, where no evidence is available at the proteomic, antibody, or structural levels. We give examples of protocols, tools and detailed flowcharts that can be extended or tailored to interpret and annotate the proteome of any novel organism.