生物化学

In mammals, the skin comprises several distinct cell populations that are organized into the following layers: epidermis (stratum corneum, stratum granulosum, stratum spinosum, and basal layer), basement membrane, dermis, and hypodermal (subcutaneous fat) layers. It is vital to identify the exact location and function of proteins in different skin layers. Laser capture microdissection (LCM) is an effective technique for obtaining pure cell populations from complex tissue sections for disease-specific genomic and proteomic analysis. In this study, we used LCM to isolate different skin layers, constructed a stratified developmental lineage proteome map of human skin that incorporates spatial protein distribution, and obtained new insights into the role of extracellular matrix (ECM) on stem cell regulation.

The zebrafish retina is a canonical vertebrate retina. Since the past few years, with the continually growing genetic toolbox and imaging techniques, zebrafish plays a crucial role in retinal research. This protocol describes a method to quantitatively evaluate the expression of Arrestin3a (Arr3a) and G-protein receptor kinase7a (Grk7a) in the adult zebrafish retina at protein levels by infrared fluorescence western blot. Our protocol can be easily adapted to measure protein levels in additional zebrafish tissues.

Chemical proteomics focuses on the drug–target–phenotype relationship for target deconvolution and elucidation of the mechanism of action—key and bottleneck in drug development and repurposing. Majorly due to the limits of using chemically modified ligands in affinity-based methods, new, unbiased, proteome-wide, and MS-based chemical proteomics approaches have been developed to perform drug target deconvolution, using full proteome profiling and no chemical modification of the studied ligand. Of note among them, thermal proteome profiling (TPP) aims to identify the target(s) by measuring the difference in melting temperatures between each identified protein in drug-treated versus vehicle-treated samples, with the thermodynamic interpretation of “protein melting” and curve fitting of all quantified proteins, at all temperatures, in each biological replicate. Including TPP, all the other chemical proteomics approaches often fail to provide target deconvolution with sufficient proteome depth, statistical power, throughput, and sustainability, which could hardly fulfill the final purpose of drug development. The proteome integral solubility alteration (PISA) assay provides no thermodynamic interpretation, but a throughput 10–100-fold compared to the other proteomics methods, high sustainability, much lower time of analysis and sample amount requirements, high confidence in results, maximal proteome coverage (~10,000 protein IDs), and up to five drugs / test molecules in one assay, with at least biological triplicates of each treatment. Each drug-treated or vehicle-treated sample is split into many fractions and exposed to a gradient of heat as solubility perturbing agent before being recomposed into one sample; each soluble fraction is isolated, then deep and quantitative proteomics is applied across all samples. The proteins interacting with the tested molecules (targets and off-targets), the activated mechanistic factors, or proteins modified during the treatment show reproducible changes in their soluble amount compared to vehicle-treated controls. As of today, the maximal multiplexing capability is 18 biological samples per PISA assay, which enables statistical robustness and flexible experimental design accommodation for fuller target deconvolution, including integration of orthogonal chemical proteomics methods in one PISA assay. Living cells for studying target engagement in vivo or, alternatively, protein extracts to identify in vitro ligand-interacting proteins can be studied, and the minimal need in sample amount unlocks target deconvolution using primary cells and their derived cultures.

Graphical abstract:

Toxoplasma gondii is a single-celled eukaryotic parasite that chronically infects a quarter of the global population. In recent years, phenotypic screens have identified compounds that block parasite replication. Unraveling the pathways and molecular mechanisms perturbed by such compounds requires target deconvolution. In parasites, such deconvolution has been achieved via chemogenomic approaches—for example, directed evolution followed by whole-genome sequencing or genome-wide knockout screens. As a proteomic alternative that directly probes the physical interaction between compound and protein, thermal proteome profiling (TPP), also known as the cellular thermal shift assay (CETSA), recently emerged as a method to identify small molecule–target interactions in living cells and cell extracts in a variety of organisms, including unicellular eukaryotic pathogens. Ligand binding induces a thermal stability shift—stabilizing or destabilizing proteins that change conformationally in response to the ligand—that can be measured by mass spectrometry (MS). Cells are incubated with different concentrations of ligand and heated, causing thermal denaturation of proteins. The soluble protein is extracted and quantified with multiplexed, quantitative MS, resulting in thousands of thermal denaturation profiles. Proteins engaging the ligand can be identified by their compound-dependent thermal shift. The protocol provided here can be used to identify ligand-target interactions and assess the impact of environmental or genetic perturbations on the thermal stability of the proteome in T. gondii and other eukaryotic pathogens.

Graphic abstract:

Thermal proteome profiling for target identification in the apicomplexan parasite T. gondii.

Diffusion is a fundamental process in biological systems that governs the molecular collisions driving biochemical reactions and membrane and transport. Measurement of the diffusion coefficient and application of the Stokes-Einstein equation produces the hydrodynamic radius, which is a commonly used gauge of particle size. Additionally, measurement of the diffusion coefficient and the sedimentation coefficient, and application of the Svedberg equation, yields the molecular weight, which is particularly useful in the characterization of very large macromolecules. Dynamic light scattering (DLS) is the most common method to measure the diffusion coefficient of macromolecules. We describe a procedure to perform DLS measurements on monomeric bovine serum albumin (BSA) purified by size-exclusion chromatography using the Zetasizer Nano S particle size analyzer. We compare several analytical methods in existing software programs to estimate the diffusion coefficient of BSA (extrapolated to water at 20°C at infinite dilution, ) and describe a statistical method to obtain 95% confidence limits of the precision of the estimates. We compare estimates to literature values obtained by diffusiometry, sedimentation velocity analytical ultracentrifugation, and other DLS instruments. The method of cumulant analysis in the program SEDFIT (www.analyticalultracentrifugation.com) produced the most precise estimate, 6.06 ± 0.07 F (1 F = 10^-7 cm² s^-1), which was within the range of estimates obtained by diffusiometry or sedimentation velocity. This protocol is useful for DLS method validation and quality control.

Densitometric analysis is often used to quantify Na_V1.1 protein on immunoblots, although the sensitivity and dilution linearity of the method are usually poor. Here we present a protocol for quantification of Na_V1.1 in mouse brain tissues using a Meso Scale Discovery-Electrochemiluminescence (MSD-ECL) method. MSD-ECL is based on ELISA (enzyme-linked immunosorbent assay) and uses electrochemiluminescence to produce measurable signals. Two different antibodies are used in this assay to capture and detect Na_V1.1 respectively in brain tissue lysate. The specificity of the antibodies is confirmed by Scn1a gene knock-out tissue. The calibration curve standards used in this assay were generated with mouse liver lysate spiked with mouse brain lysate, instead of using a recombinant protein. We showed that this method was qualified and used for quantification of Na_V1.1 in mouse brain tissues with specificity, accuracy and precision.

Small GTPases are cellular switches that are switched on when bound to GTP and switched off when bound to GDP. Different small GTPase proteins or those with mutations may bind to GTP or GDP with different relative affinities. However, small GTPases generally have very high affinities for guanine nucleotides, rendering it difficult to compare the relative binding affinities for GTP and GDP. Here we developed a method for comparing the relative binding strength of a protein to GTP and GDP using a mant-GDP dissociation assay, whereby the abilities of GTP and GDP to induce the dissociation of bound mant-GDP are compared. This equilibrium type assay is simple, economic, and much faster than obtaining each protein’s affinity for GDP and GTP. The GDP/GTP preference value obtained is useful for comparing the relative GTP/GDP binding preferences of different GTPases or different mutants, even though it is not the real GDP/GTP affinity ratio (but rather an estimation of the ratio).

Ascorbic acid (AsA) and gluthathione (GSH) are two key components of the antioxidant machinery of eukaryotic and prokaryotic cells. The cyanobacterium Synechocystis sp. PCC 6803 presents both compounds in different concentrations (AsA, 20-100 μM and GSH, 2-5 mM). Therefore, it is important to have precise and sensitive methods to determine the redox status in the cell and to detect variations in this antioxidants. In this protocol, we describe an improved method to estimate the content of both antioxidants (in their reduced and oxidized forms) from the same sample obtained from liquid cultures of Synechocystis sp. PCC 6803.

One of the major histopathological hallmarks of Parkinson’s disease are Lewy bodies (LBs) –cytoplasmic inclusions, enriched with fibrillar forms of the presynaptic protein alpha-synuclein (α-syn). Progressive deposition of α-syn into LBs is enabled by its propensity to fibrillize into insoluble aggregates. We recently described a marked reduction in α-syn fibrillation in vitro upon posttranslational modification (PTM) by the Fic (Filamentation induced by cAMP) family adenylyltransferase HYPE/FICD (Huntingtin yeast-interacting protein E/FICD). Specifically, HYPE utilizes ATP to covalently decorate key threonine residues in α-syn’s N-terminal and NAC (non-amyloid-β component) regions with AMP (adenosine monophosphate), in a PTM termed AMPylation or adenylylation. Status quo in vitro AMPylation reactions of HYPE substrates, such as α-syn, use a variety of ATP analogs, including radiolabeled α-³²P-ATP or α-³³P-ATP, fluorescent ATP analogs, biotinylated-ATP analogs (N6-[6-hexamethyl]-ATP-Biotin), as well as click-chemistry-based alkyl-ATP methods for gel-based detection of AMPylation. Current literature describing a step-by-step protocol of HYPE-mediated AMPylation relies on an α-³³P-ATP nucleotide instead of the more commonly available α-³²P-ATP. Though effective, this former procedure requires a lengthy and hazardous DMSO-PPO (dimethyl sulfoxide-polyphenyloxazole) precipitation. Thus, we provide a streamlined alternative to the α-³³P-ATP-based method, which obviates the DMSO-PPO precipitation step. Described here is a detailed procedure for HYPE mediated AMPylation of α-syn using α-³²P-ATP as a nucleotide source. Moreover, our use of a reusable Phosphor screen for AMPylation detection, in lieu of the standard, single-use autoradiography film, provides a faster, more sensitive and cost-effective alternative.