Fig. 24.1
Virtual 2D map, showing the distribution of proteins identified by LC-MS in a representative subcutaneous fat tissue aspirate, according to isoelectric point and molecular weight. The inset and red box show the range typically covered by gel-based proteomics (Reprinted with permission from Brambilla et al. JPR 2013; 12: 5642–55. Copyright 2013 American Chemical Society)
In differential proteomics, samples are compared in order to detect qualitative and quantitative differences. Various experimental approaches are available for this purpose. In particular, starting from the lists of identified proteins in unlabeled specimens (i.e., in specimens that have not been differently tagged by chemical modifications) analyzed by LC-MS, bioinformatics tools exist to calculate semiquantitative differences in protein abundance (label-free differential proteomics) [12, 13].
The diagnostic proteomics approaches in use at the Pavia Amyloid Research and Treatment Center are based on the LC-MS analysis of proteins extracted from unfractionated tissue samples, combined with label-free quantitation. These approaches rely on the comparison of the tissue proteome profile in each patient with the profile of the same tissue from unaffected controls. The proteins deposited as amyloid are assumed to be specifically present or overrepresented in patients, and typing is achieved by comparing the relative abundance of the different amyloidogenic species. This approach implies that an adequate reference map is available for the tissue under analysis. Besides giving information on amyloid composition, whole tissue analysis also provides knowledge on changes in tissue-resident proteins. This information is precious for understanding the bases of amyloid tissue toxicity and for identifying tissue dysfunction biomarkers [9, 10].
Differential Proteomic Techniques Used in Amyloid Typing
The analysis of the whole tissue proteome requires powerful separation methods to allow sensitive and specific detection and quantification of the different proteins in each sample. This can be achieved by gel-based (two-dimensional polyacrylamide gel electrophoresis, 2D-PAGE, coupled to MS) or gel-free approaches (LC-MS-based methods). The first method is very powerful in providing immediate visualization of the abnormal species [8, 10, 11]. The digital images of the 2D-PAGE gels from patients and controls samples are overlaid, to detect and identify the abnormal protein spots, which are then cut from the gel, digested, and identified by MS. However, this approach is more labor intensive and less automatable than gel-free approaches and, for the clinical purposes, has generally been abandoned in favor of the latter.
The gel-free (so-called “shotgun”) methodologies employ enzymatic digestion of the protein sample (usually with trypsin) prior to analysis, and separation of the peptides by one-dimensional (reverse phase on C18 resin columns) or two-dimensional (reverse phase coupled to strong cation exchange) chromatography. The second approach is employed in the MudPIT technology (Multidimensional Protein Identification Technology), in use by the Pavia/ITB-CNR center (Fig. 24.2). 2D chromatography separates the peptides, which can directly enter the mass spectrometer, where their mass, and the mass of their fragments, is measured. A list of identified proteins is provided after searching the MS data against protein sequence databases (such as NCBInr). The diseased vs. control proteome comparison is performed through dedicated softwares (such as MaProMa [7, 9], developed in-house at ITB-CNR, or commercial ones).
Fig. 24.2
Workflow of MudPIT approach for amyloid typing. SCX strong cation exchange
An important step in sample preparation, especially when working with unfixed specimens, is blood removal through washing. In fact, the systemic amyloidosis precursors are blood-borne, and traces of their normal counterparts may be detected in case of blood carryover. Since minor amounts of blood contaminants are often detected in samples, we have developed an algorithm that provides a quantitative parameter (designated α-value [7]) to evaluate the overrepresentation of a specific amyloidogenic protein compared to the other ones. This simplifies the interpretation of proteomic results: amyloid type attribution is achieved not only from the presence of an amyloidogenic protein in the list of identified species but also from its greater abundance (Fig. 24.3).
Fig. 24.3
Calculated α-value (a) and corresponding spectral counts (b) for the major amyloidogenic proteins in four representative patients (proteomic analysis of subcutaneous fat). Spectral counts in controls (Cm, averaged count [7]) are provided for comparison
Subcutaneous Abdominal Fat
Abdominal subcutaneous fat, acquired by fine-needle aspiration or by surgical biopsy, can be effectively analyzed by diagnostic proteomics. The tissue preparation workflow is shown in Fig. 24.4 [7–11]. Adipose tissue must be collected in clean microcentrifuge tubes and stored frozen (−80 °C) without fixatives. Care must be paid in freezing the sample as soon as possible (not later than 30 min, during which time it must be kept on ice), in order to prevent protein degradation. Protein extraction is achieved by manually crushing the sample (10–20 mg) in a lysis buffer. Our preferred lysis buffer contains chaotropes (8 M urea, or 7 M urea plus 2 M thiourea), detergents (4 % CHAPS), and a reducing agent (0.1 M DTT). This buffer has been demonstrated to effectively solubilize the proteins species present in amyloid deposits, including those forming amyloid fibrils. Short pulses of sonication help disaggregate the tissue and extract proteins. Delipidation must be performed after protein extraction and prior to further processing, and is obtained through centrifugation (12,000–16,000 rpm). The clear solution below the floating lipids must be carefully recovered using a gel-loader tip. This protein extract would now be ready for protein quantification and 2D-PAGE analysis [10, 11]. In order to proceed to gel-free proteomic analysis, instead, detergents and other interfering buffer components must be removed [7] and proteins must be subjected to protease digestion.
Fig. 24.4
Processing of fresh subcutaneous fat tissue aspirates for LC-MS/MS proteomic analysis or 2D-PAGE
Formalin-Fixed Paraffin-Embedded Biopsies
Amyloid typing can also be performed on formalin-fixed paraffin-embedded (FFPE) samples. Notably, aldehyde fixation cross-links proteins and makes these samples unsuited for 2D-PAGE separation. The tissue (1–2 slices, 10-μm thick) is subjected to paraffin removal by incubation in 100 % xylene (3 times, 5 min each), followed by rehydration through consecutive incubations in absolute ethanol, 70 % ethanol, and water. The deparaffinized samples are incubated in a buffer containing 100 mM NH4HCO3 at 100 °C for 20 min and then at 100 °C for 2 h. Prior to trypsin digestion, the MS-compatible surfactant Rapigest (Waters) is added to the sample, to a final concentration of 0.5 % in 10 % acetonitrile. Proteins are digested with sequencing grade trypsin in a ratio 1:50 enzyme–substrate and incubated at 37 °C overnight. Peptides are desalted and loaded for LC-MS analysis (using mono- or two-dimensional chromatography). The mass spectrometry and bioinformatic workflow, as well as data interpretation through α-value, have been described above, and are analogous to what performed for proteins extracted from fresh adipose tissue. For each tissue type, a reference proteome map derived from unaffected individuals is used as comparison. Our center currently performs amyloid typing on heart, liver, kidney, lymph nodes, intestine, and salivary glands, using LC-MS.