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The ability to cure or manage many diseases is highly dependent on the ability to correctly diagnose them at the earliest possible stage. Diagnosis relies heavily on biomarkers whether these be visual symptoms or molecules found within samples acquired from the patient. For conditions that lack useful biomarkers, researchers are often faced with the task of sifting through very complex biological samples (i.e., serum, plasma, urine, tissue, cells, etc.) with the hope of discovering a small number of molecules that are exquisitely diagnostic for the condition of interest. One discovery strategy that has been frequently used is to fractionate the biological samples being studied into simpler aliquots that can be more easily characterized using existing technologies. One such fractionation method is to isolate a specific portion based on a specific property (i.e., size, phosphorylation state, charge, etc.) of the proteins within the sample. This method provides a simplified sample that can be characterized at a higher coverage level than the complex sample from which it was derived. This chapter details one of these methods, the extraction and analysis of the low molecular weight proteome of human serum.

Differential (18)O/(16)O stable isotopic labeling that relies on post-digestion (18)O exchange is a simple and efficient method for the relative quantitation of proteins in complex mixtures. This method incorporates two (18)O atoms onto the C-termini of proteolytic peptides resulting in a 4 Da mass-tag difference between (18)O- and (16)O-labeled peptides. This allows for wide-range relative quantitation of proteins in complex mixtures using shotgun proteomics. Because of minimal sample consumption and unrestricted peptide tagging, the post-digestion (18)O exchange is suitable for labeling of low-abundance membrane proteins enriched from cancer cell lines or clinical specimens, including tissues and body fluids. This chapter describes a protocol that applies post-digestion (18)O labeling to elucidate putative endogenous tumor hypoxia markers in the plasma membrane fraction enriched from a hypoxia-adapted malignant melanoma cell line. Plasma membrane proteins from hypoxic and normoxic cells were differentially tagged using (18)O/(16)O stable isotopic labeling. The initial tryptic digestion and solubilization of membrane proteins were carried out in a buffer containing 60 % methanol followed by post-digestion (18)O exchange/labeling in buffered 20 % methanol. The differentially labeled peptides were mixed in a 1:1 ratio and fractionated using off-line strong cation exchange (SCX) liquid chromatography followed by on-line reversed-phase nano-flow RPLC-MS identification and quantitation of peptides/proteins in respective SCX fractions. The present protocol illustrates the utility of (18)O/(16)O stable isotope labeling in the context of quantitative shotgun proteomics that provides a basis for the discovery of hypoxia-induced membrane protein markers in malignant melanoma cell lines.

Chromatography in all its formats plays an important role in proteomics research. The search for protein biomarkers for different diseases has been an active area of research. The dynamic concentration range and the large number of proteins in a proteome require the development of multidimensional separation strategies to allow for the identification of the largest number of proteins. Strong cation-exchange chromatography (SCX) has been used extensively for the fractionation of proteins and peptides. This chapter provides a detailed description for the SCX fractionation of complex proteome samples.

The role of membrane proteins is critical for regulation of physiologic and pathologic cellular processes. Hence it is not surpassing that membrane proteins make ∼70% of contemporary drug targets. Quantitative profiling of membrane proteins using mass spectrometry (MS)-based proteomics is critical in a quest for disease biomarkers and novel cancer drugs. Post-digestion (18)O exchange is a simple and efficient method for differential (18)O/(16)O stable isotope labeling of two biologically distinct specimens, allowing relative quantitation of proteins in complex mixtures when coupled with shotgun MS-based proteomics. Due to minimal sample consumption and unrestricted peptide tagging, (18)O/(16)O stable isotope labeling is particularly suitable for amount-limited protein specimens typically encountered in membrane and clinical proteomics. This chapter describes a protocol that relies on shotgun proteomics for quantitative profiling of the detergent-insoluble membrane proteins isolated from HeLa cells, differentially transfected with plasmids expressing HIV Gag protein and its myristylation-defective N-terminal mutant. Whilst this protocol depicts solubilization of detergent-insoluble membrane proteins coupled with post-digestion (18)O labeling, it is amenable to any complex membrane protein mixture. Described approach relies on solubilization and tryptic digestion of membrane proteins in a buffer containing 60% (v/v) methanol followed by differential (18)O/(16)O labeling of protein digests in 20% (v/v) methanol buffer. After mixing, the differentially labeled peptides are fractionated using off-line strong cation exchange (SCX) followed by on-line reversed phase nanoflow reversed-phase liquid chromatography (nanoRPLC)-MS identification/quantiation of peptides/proteins. The use of methanol-based buffers in the context of the post-digestion (18)O exchange/labeling eliminates the need for detergents or chaotropes that interfere with LC separations and peptide ionization. Sample losses are minimized because solubilization, digestion, and stable isotope labeling are carried out in a single tube, avoiding any sample transfer or buffer exchange between these steps.

Sensitive and fast analytical techniques are needed to determine the concentration of nanoparticles in biological samples (e.g., blood and tissues) for biodistribution and toxicity studies. This chapter describes a method for the use of capillary zone electrophoresis (CZE) and micellar electrokinetic chromatography (MEKC) for the quantitation of fullerene nanoparticles in human serum matrix. Data on the fullerene-based nanoparticle carboxyfullerene (C3 fullerene) in human serum is presented as an example.

Capillary electrophoresis (CE) is an efficient and fast microseparation technique that is well suited for the separation of nucleic acids. CE is routinely used for the separation of double-stranded DNA fragments; single-stranded DNA fragments and polymerase chain reaction (PCR) products in our laboratory. CE is a versatile tool for separating nucleic acids in molecular biology (1). CE has the advantages of automation, small sample requirement, fast and efficient separation, real-time detection, and negligible buffer waste in comparison to slab-gel electrophoresis. However, the major drawback of CE is low amount of sample throughput because samples are analyzed sequentially. This problem is resolved by using a capillary array electrophoresis (CAE) (2,3). Since conventional CE systems are equipped with a single capillary, a practical way to increase throughput is to minimize the analysis time per sample. This has been accomplished by using a range of an effective length capillary as short as 7 cm and field strength as high as 2000 V/cm for the separations of small ions, drugs, and proteins (4–7). Recently, we were able to achieve fast separation of the wild-type and mutant PCR products of the TGF-β1 gene in 60 s using a 7-cm effective length capillary and 560 V/cm (8). However, high field strength degraded the resolution of large DNA fragments (9) and may cause migration anomalies (10). Alternatively, one can use a shorter capillary length with low field strength. We describe here the fast sizing of DNA fragments using 1-, 2-, and 7-cm effective length capillaries (11). Fast DNA separation can be achieved with capillaries with an effective length of only 1–2 cm. The low electric field associated with such short capillaries extends the range of DNA fragment sizes that may be separated by this means, which is useful if the analysis of large DNA fragments is required.