Protein Sample Preparation Research Articles

One-pot method for preparing DNA, RNA, and protein for multiomics analysis

Typical multiomics studies employ separate methods for DNA, RNA, and protein sample preparation, which is labor intensive, costly, and prone to sampling bias. We describe a method for preparing high-quality, sequencing-ready DNA and RNA, and either intact proteins or mass-spectrometry-ready peptides for whole proteome analysis from a single sample. This method utilizes a reversible protein tagging scheme to covalently link all proteins in a lysate to a bead-based matrix and nucleic acid precipitation and selective solubilization to yield separate pools of protein and nucleic acids. We demonstrate the utility of this method to compare the genomes, transcriptomes, and proteomes of four triple-negative breast cancer cell lines with different degrees of malignancy. These data show the involvement of both RNA and associated proteins, and protein-only dependent pathways that distinguish these cell lines. We also demonstrate the utility of this multiomics workflow for tissue analysis using mouse brain, liver, and lung tissue.

Polycarbonate Ultracentrifuge Tube Re-use in Proteomic Analyses of Extracellular Vesicles.

Single-use laboratory plastics exacerbate the pollution crisis and contribute to consumable costs. In extracellular vesicle (EV) isolation, polycarbonate ultracentrifuge (UC) tubes are used to endure the associated high centrifugal forces. EV proteomics is an advancing field and validated re-use protocols for these tubes are lacking. Re-using consumables for low-yield protein isolation protocols and downstream proteomics requires reagent compatibility with mass spectroscopy acquisitions, such as the absence of centrifuge tube-derived synthetic polymer contamination, and sufficient removal of residual proteins. This protocol describes and validates a method for cleaning polycarbonate UC tubes for re-use in EV proteomics experiments. The cleaning process involves immediate submersion of UC tubes in H2O to prevent protein drying, washing in 0.1% sodium dodecyl sulfate (SDS) detergent, rinsing in hot tap water, demineralized water, and 70% ethanol. To validate the UC tube re-use protocol for downstream EV proteomics, used tubes were obtained following an experiment isolating EVs from cardiovascular tissue using differential UC and density gradient separation. Tubes were cleaned and the experimental process was repeated without EV samples comparing blank never-used UC tubes to cleaned UC tubes. The pseudo-EV pellets obtained from the isolation procedures were lysed and prepared for liquid chromatography-tandem mass spectrometry using a commercial protein sample preparation kit with modifications for low-abundance protein samples. Following cleaning, the number of identified proteins was reduced by 98% in the pseudo-pellet versus the previous EV isolation sample from the same tube. Comparing a cleaned tube against a blank tube, both samples contained a very small number of proteins (≤20) with 86% similarity. The absence of polymer peaks in the chromatograms of the cleaned tubes was confirmed. Ultimately, the validation of a UC tube cleaning protocol suitable for the enrichment of EVs will reduce the waste produced by EV laboratories and lower the experimental costs.

Improved methods for total and chloroplast protein extraction from Cajanus species for two-dimensional gel electrophoresis and mass spectrometry.

The recent advances in pigeon pea genomics, including high-quality whole genome and chloroplast genome sequence information helped develop improved varieties. However, a comprehensive Cajanus proteome, including the organelle proteome, is yet to be fully mapped. The spatial delineation of pigeon pea proteins at sub-cellular levels and inter-organelle communication could offer valuable insights into its defense mechanism against various stresses. However, the major bottleneck in the proteomic study is the lack of a suitable method of protein extraction and sample preparation compatible with two-dimensional gel electrophoresis (2D-PAGE), liquid chromatography-mass spectrometry (LCMS), or matrix-assisted laser desorption ionization-time of flight (MALDi-ToF). Our study introduces two efficient methods, one for isolating total proteins and another for organelle (chloroplast) proteins from various Cajanus spp. For total protein extraction, we have optimized a protocol using phenol in combination with a reducing agent (DTT) and protease inhibitor cocktail, also washing (6-7 times) with ice-cold acetone after overnight protein precipitation of total proteins. Our modified extraction method using phenol for total leaf protein yielded approximately 2-fold more proteins than the previously reported protocols from C. cajan (3.18 ± 0.11 mg/gm) and C. scarabaeoides (2.06 ± 0.08 mg/gm). We have also optimized a protocol for plastid protein extraction, which yielded 1.33 ± 0.25 mg/10 gm plastid proteins from C. cajan and 0.88 ± 0.19 mg/10 gm plastid proteins from C. scarabaeoides. The 2D-PAGE analysis revealed 678 ± 08 reproducible total protein spots from C. cajan and 597 ± 22 protein spots from C. scarabaeoides. Similarly, we found 566 ± 10 and 486 ± 14 reproducible chloroplast protein spots in C. cajan and C. scarabaeoides, respectively. We confirmed the plastid protein fractions through immunoblot analysis using antibodies against LHCb1/LHCⅡ type Ⅰ protein. We found both methods suitable for 2D-PAGE and mass spectrometry (MS). This is the first report on developing protocols for total and chloroplastic protein extraction of Cajanus spp. suitable for advanced proteomics research.

NMR methods to detect fluoride binding and transport by membrane proteins.

Solid-state nuclear magnetic resonance (NMR) methods can probe the motions of membrane proteins in liposomes at the atomic level, and propel the understanding of biomolecular processes for which static structures cannot provide a satisfactory description. High-resolution crystallography snapshots have provided a structural basis for fluoride channels. NMR is a powerful tool to build upon these snapshots and depict a dynamic picture of fluoride channels in native-like lipid bilayers. In this contribution, we discuss solid-state and solution NMR experiments to detect fluoride binding and transport by fluoride channels. Ongoing developments in membrane protein sample preparation and ssNMR methodology, particularly in using 1H, 19F and 13C-detection schemes, offer additional opportunities to study structure and functional aspects of fluoride channels.

Identification of Plasma Biomarkers from Rheumatoid Arthritis Patients Using an Optimized Sequential Window Acquisition of All THeoretical Mass Spectra (SWATH) Proteomics Workflow.

Rheumatoid arthritis (RA) is a systemic autoimmune and inflammatory disease. Plasma biomarkers are critical for understanding disease mechanisms, treatment effects, and diagnosis. Mass spectrometry-based proteomics is a powerful tool for unbiased biomarker discovery. However, plasma proteomics is significantly hampered by signal interference from high-abundance proteins, low overall protein coverage, and high levels of missing data from data-dependent acquisition (DDA). To achieve quantitative proteomics analysis for plasma samples with a balance of throughput, performance, and cost, we developed a workflow incorporating plate-based high abundance protein depletion and sample preparation, comprehensive peptide spectral library building, and data-independent acquisition (DIA) SWATH mass spectrometry-based methodology. In this study, we analyzed plasma samples from both RA patients and healthy donors. The results showed that the new workflow performance exceeded that of the current state-of-the-art depletion-based plasma proteomic platforms in terms of both data quality and proteome coverage. Proteins from biological processes related to the activation of systemic inflammation, suppression of platelet function, and loss of muscle mass were enriched and differentially expressed in RA. Some plasma proteins, particularly acute-phase reactant proteins, showed great power to distinguish between RA patients and healthy donors. Moreover, protein isoforms in the plasma were also analyzed, providing even deeper proteome coverage. This workflow can serve as a basis for further application in discovering plasma biomarkers of other diseases.

One-Pot Analytical Pipeline for Efficient and Sensitive Proteomic Analysis of Extracellular Vesicles.

Extracellular vesicle (EV) proteomics emerges as an effective tool for discovering potential biomarkers for disease diagnosis, monitoring, and therapeutics. However, the current workflow of mass spectrometry-based EV proteome analysis is not fully compatible in a clinical setting due to inefficient EV isolation methods and a tedious sample preparation process. To streamline and improve the efficiency of EV proteome analysis, here we introduce a one-pot analytical pipeline integrating a robust EV isolation approach, EV total recovery and purification (EVtrap), with in situ protein sample preparation, to detect urinary EV proteome. By incorporating solvent-driven protein capture and fast on-bead digestion, the one-pot pipeline enabled the whole EV proteome analysis to be completed within one day. In comparison with the existing workflow, the one-pot pipeline was able to obtain better peptide yield and identify the equivalent number of unique EV proteins from 1 mL of urine. Finally, we applied the one-pot pipeline to profile proteomes in urinary EVs of bladder cancer patients. A total of 2774 unique proteins were identified in 53 urine samples using a 15 min gradient library-free data-independent acquisition method. Taken altogether, our novel one-pot analytical pipeline demonstrated its potential for routine and robust EV proteomics in biomedical applications.

Sample preparation of membrane proteins using anti-His tag antibody

Sample preparation of membrane proteins using anti-His tag antibody

Easy, Robust, and Repeatable Online Acid Cleavage of Proteins in Mobile Phase for Fast Quantitative LC-MS Bottom-Up Protein Analysis─Application for Ricin Detection.

Sample preparation involving the cleavage of proteins into peptides is the first critical step for successful bottom-up proteomics and protein analyses. Time- and labor-intensiveness are among the bottlenecks of the commonly used methods for protein sample preparation. Here, we report a fast online method for postinjection acid cleavage of proteins directly in the mobile phase typically used for LC-MS analyses in proteomics. The chemical cleavage is achieved in 0.1% formic acid within 35 s in a capillary heated to 195 °C installed upstream of the analytical column, enabling the generated peptides to be separated. The peptides generated by the optimized method covered the entire sequence except for one amino acid of trastuzumab used for the method development. The qualitative results are extraordinarily stable, even over a long period of time. Moreover, the method is also suitable for accurate and repeatable quantification. The procedure requires only one manual step, significantly decreasing sample transfer losses. To demonstrate its practical utility, we tested the method for the fast detection of ricin. Ricin can be unambiguously identified from an injection of 10 ng, and the results can be obtained within 7-8 min after receiving a suspicious sample. Because no sophisticated accessories and no additional reagents are needed, the method can be seamlessly transferred to any laboratory for high-throughput proteomic workflows.

Electron paramagnetic resonance spectroscopic characterization of the human KCNE3 protein in lipodisq nanoparticles for structural dynamics of membrane proteins

One of the major challenges in solubilization of membrane proteins is to find the optimal physiological environment for their biophysical studies. EPR spectroscopy is a powerful biophysical technique for studying the structural and dynamic properties of macromolecules. However, the challenges in the membrane protein sample preparation and flexible motion of the spin label limit the utilization of EPR spectroscopy to a majority of membrane protein systems in a physiological membrane-bound state. Recently, lipodisq nanoparticles or styrene-maleic acid copolymer-lipid nanoparticles (SMALPs) have emerged as a membrane mimetic system for investigating the structural studies of membrane proteins. However, its detail characterization for membrane protein studies is still poorly understood. Recently, we characterized the potassium channel membrane protein KCNQ1 voltage sensing domain (KCNQ1-VSD) and KCNE1 reconstituted into lipodisq nanoparticles using EPR spectroscopy. In this study, the potassium channel accessory protein KCNE3 containing flexible N- and C-termini was encapsulated into proteoliposomes and lipodisq nanoparticles and characterized for studying its structural and dynamic properties using nitroxide based site-directed spin labeling EPR spectroscopy. CW-EPR lineshape analysis data indicated an increase in spectral line broadenings with the addition of the styrene-maleic acid (SMA) polymer which approaches close to the rigid limit providing a homogeneous stabilization of the protein-lipid complex. Similarly, EPR DEER measurements indicated an enhanced quality of distance measurements with an increase in the phase memory time (Tm) values upon incorporation of the sample into lipodisq nanoparticles, when compared to proteoliposomes. These results agree with the solution NMR structural structure of the KCNE3 and EPR studies of other membrane proteins in lipodisq nanoparticles. This study along with our earlier studies will provide the reference characterization data that will provide benefit to the membrane protein researchers for studying structural dynamics of challenging membrane proteins.

DbyDeep: Exploration of MS-Detectable Peptides via Deep Learning.

Predicting peptide detectability is useful in a variety of mass spectrometry (MS)-based proteomics applications, particularly targeted proteomics. However, most machine learning-based computational methods have relied solely on information from the peptide itself, such as its amino acid sequences or physicochemical properties, despite the fact that peptides detected by MS are dependent on many factors, including protein sample preparation, digestion, separation, ionization, and precursor selection during MS experiments. DbyDeep (Detectability by Deep learning) is an innovative end-to-end LSTM network model for peptide detectability prediction that incorporates sequence contexts of peptides and their cleavage sites (by protease). Utilizing the cleavage site contexts could improve the performance of prediction, and DbyDeep outperformed existing methods in predicting peptides recognizable from multiple MS/MS data sets with diverse species and MS instruments. We argue for the necessity of a learning model that encompasses several contexts associated with peptide detection, as opposed to depending just on peptide sequences. There is a Python implementation of DbyDeep at https://github.com/BISCodeRepo/DbyDeep.

Seeing is believing: visualizing submicrometre crystals as a first step towards direct protein sample preparation for MicroED experiments

Seeing is believing: visualizing submicrometre crystals as a first step towards direct protein sample preparation for MicroED experiments

P-085 Reactive molecules drive sperm capacitation via protein posttranslational modifications

Abstract Study question Are S-sulfenylation and S-nitrosylation, two essential posttranslational modifications (PTMs), increased during sperm capacitation? Which proteins are subjected to S-sulfenylation? Summary answer S-sulfenylation and S-nitrosylation increase during sperm capacitation. S-sulfenylation affects certain proteins, including A-kinase anchor protein 13, Fibrilline-1, and Spermatogenesis-associated protein 7. What is known already There is a significant increase in reactive oxygen species (ROS) and reactive nitrogen species (RNS) production within sperm capacitation. In contrast to tyrosine phosphorylation, a well-established mark of sperm capacitation, ROS, and RNS lead to PTMs themselves and modify thiol groups of cysteines. Despite these facts, the dynamics of ROS/RNS-derived PTMs during sperm capacitation remain unknown. Therefore, we consider both S-nitrosylation and S-sulfenylation of sperm proteins as novel modifications associated with the capacitation. Study design, size, duration C57BL6 mouse sperm were isolated from the caudae epididymae of 12-20-week-old males (n = 5). The study compared non-capacitated and capacitated spermatozoa using proteomic profiling. Participants/materials, setting, methods Sperm proteins were extracted into RIPA buffer. The protein lysate was incubated with 5mM dimedone, a hapten that specifically labels S-sulfenylated proteins, and immunogenically detected with an anti-dimedone antibody (Merk, Germany). Alternatively, S-nitrosylated proteins were detected by the anti-nitrosocysteine antibody (Merk, Germany). S-sulfenylated and S-nitrosylated proteins were visualized by western blotting. S-sulfenylated proteins were simultaneously identified by mass spectrometry. Main results and the role of chance We demonstrated an increase in S-sulfenylation and S-nitrosylation along with sperm capacitation. In addition, both S-sulfenylation and S-nitrosylation are positively correlated with tyrosine phosphorylation. Using mass spectrometry, we identified S-sulfenylated proteins, mostly belonging to the cytoskeleton: A-kinase anchor protein 13, Fibrilline-1, Spermatogenesis-associated protein 7, and Rab-like protein 2A. Limitations, reasons for caution The limitation of this study is the instability of PTMs. ROS/RNS-derived PTMs hypothetically arise and cease during protein sample preparation. The experiment was limited to one animal model. Further experiments should be performed on other mammalian models. Wider implications of the findings Studying novel sperm PTMs and their mechanism of action may improve the diagnosis of male infertility. Further, it could bring a novel approach to modulate the fertilizing ability of sperm used for in vitro fertilization. Trial registration number 260 536

NMR Analysis of the Interactions and Conformational Plasticity of Dynein Intermediate Chain.

Cytoplasmic dynein complexes play crucial roles in intracellular transport of cellular organelles. While the motor domain of dynein is well characterized by techniques such as X-ray crystallography and cryo-electron microscopy (Cryo-EM), structural representations of dynein usually include only the more packed and easily resolved regions and omit the long flexible and poorly structured regions. One such flexible region is the N-terminal half of the intermediate chain (IC), which contains almost 300 amino acids that are predicted to be disordered. This level of disorder makes IC impossible to study by X-ray crystallography and Cryo-EM, but amenable to study by solution nuclear magnetic resonance (NMR), a powerful technique that can elucidate residue-specific information in adynamic ensemble of structures, and transient binding interactions of associated proteins. Here, we describe the methods we use to characterize flexible and disordered proteins including protein expression, purification, sample preparation, and NMR data acquisition and analysis.

Addressing compressive deformation of proteins embedded in crystalline ice

For cryoelectron microscopy (cryo-EM), high cooling rates have been required for preparation of protein samples to vitrify the surrounding water and avoid formation of damaging crystalline ice. Whether and how crystalline ice affects single-particle cryo-EM is still unclear. Here, single-particle cryo-EM was used to analyze three-dimensional structures of various proteins and viruses embedded in crystalline ice formed at various cooling rates. Low cooling rates led to shrinkage deformation and density distortions on samples having loose structures. Higher cooling rates reduced deformations. Deformation-free proteins in crystalline ice were obtained by modifying the freezing conditions, and reconstructions from these samples revealed a marked improvement over vitreous ice. This procedure also increased the efficiency of cryo-EM structure determinations and was essential for high-resolution reconstructions.

Protein sample preparation for tissue distribution study.

The distribution and expression level of a protein among animal tissues is indicative of its possible roles. It is important to establish a generally applicable method to prepare protein samples with high-quality and achieve near 100% recovery of proteins from animal tissues. During preparation, to sufficiently dissolve and maintain stability of almost all proteins from tissues, as well as to avoid most contaminations affecting protein detection, 2×SDS Sample Buffer, sonication and trichloroacetic acid precipitation are applied. Here we provide a relatively simple, reproducible, and broadly applicable method for studying protein distribution in most tissues, in which the issues resulting from protein degradation and modification during sample preparation and assay interference by other cellular components like neutral lipids and glycogen could be overcome. Furthermore, this method represents the protein content by equal wet tissue mass, which is a better means to present the expression level of a protein in various tissues. High-quality protein samples from almost all tissues could be prepared. The samples produced are amenable to tissue distribution analysis by Western blotting and for silver/Coomassie staining, proteomics, and other protein analyses, which would contribute to potential biomarkers or treatments for a disease.

Heavy Methyl SILAC Metabolic Labeling of Human Cell Lines for High-Confidence Identification of R/K-Methylated Peptides by High-Resolution Mass Spectrometry.

Protein methylation is a widespread post-translational modification (PTM) involved in several important biological processes including, but not limited to, RNA splicing, signal transduction, translation, and DNA repair. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is considered today the most versatile and accurate technique to profile PTMs with high precision and proteome-wide depth; however, the identification of protein methylations by MS is still prone to high false discovery rates. In this chapter, we describe the heavy methyl SILAC metabolic labeling strategy that allows high-confidence identification of in vivo methyl-peptides by MS-based proteomics. We provide a general protocol that covers the steps of heavy methyl labeling of cultured cells, protein sample preparation, LC-MS/MS analysis, and downstream computational analysis of the acquired MS data.

Mass-selective and ice-free electron cryomicroscopy protein sample preparation via native electrospray ion-beam deposition.

Despite tremendous advances in sample preparation and classification algorithms for electron cryomicroscopy (cryo-EM) and single-particle analysis (SPA), sample heterogeneity remains a major challenge and can prevent access to high-resolution structures. In addition, optimization of preparation conditions for a given sample can be time-consuming. In the current work, it is demonstrated that native electrospray ion-beam deposition (native ES-IBD) is an alternative, reliable approach for the preparation of extremely high-purity samples, based on mass selection in vacuum. Folded protein ions are generated by native electrospray ionization, separated from other proteins, contaminants, aggregates, and fragments, gently deposited on cryo-EM grids, frozen in liquid nitrogen, and subsequently imaged by cryo-EM. We demonstrate homogeneous coverage of ice-free cryo-EM grids with mass-selected protein complexes. SPA reveals that the complexes remain folded and assembled, but variations in secondary and tertiary structures are currently limiting information in 2D classes and 3D EM density maps. We identify and discuss challenges that need to be addressed to obtain a resolution comparable to that of the established cryo-EM workflow. Our results show the potential of native ES-IBD to increase the scope and throughput of cryo-EM for protein structure determination and provide an essential link between gas-phase and solution-phase protein structures.

Biophysical Screening Pipeline for Cryo-EM Grid Preparation of Membrane Proteins.

Successful sample preparation is the foundation to any structural biology technique. Membrane proteins are of particular interest as these are important targets for drug design, but also notoriously difficult to work with. For electron cryo-microscopy (cryo-EM), the biophysical characterization of sample purity, homogeneity, and integrity as well as biochemical activity is the prerequisite for the preparation of good quality cryo-EM grids as these factors impact the result of the computational reconstruction. Here, we present a quality control pipeline prior to single particle cryo-EM grid preparation using a combination of biophysical techniques to address the integrity, purity, and oligomeric states of membrane proteins and its complexes to enable reproducible conditions for sample vitrification. Differential scanning fluorimetry following the intrinsic protein fluorescence (nDSF) is used for optimizing buffer and detergent conditions, whereas mass photometry and dynamic light scattering are used to assess aggregation behavior, reconstitution efficiency, and oligomerization. The data collected on nDSF and mass photometry instruments can be analyzed with web servers publicly available at spc.embl-hamburg.de. Case studies to optimize conditions prior to cryo-EM sample preparation of membrane proteins present an example quality assessment to corroborate the usefulness of our pipeline.

Multi‐omics Sample Preparation Workflow for Proteins and DNA Using the Reversible Protein Tag ProMTag

Sample preparation is a crucial first step for both genomics and proteomics workflows. Removal of contaminants such as salts, detergents, and other biologics while maintaining high yields of the desired product is key to reproducible and informative results from these analyses. More and more frequently, these ‐omics technologies are being used in tandem to gain deeper insights into biological processes. However, multi‐omics sample preparation remains tedious and usually requires many steps in multiple different sample preparation workflows.In this study, we present a new multi‐omics workflow for the simultaneous preparation of DNA and protein samples from a single starting cell lysate. We accomplished this using the ProMTag reversible click chemistry technology that allows for reversible modification of the surface of proteins. Using ProMTag we were able to tag proteins in a cell lysate, bind them to ProMTag capture resin, and then precipitate nucleic acids so they also stay with the resin. With the nucleic acids and proteins bound to the resin, we were then able to wash away detergents, salts, and other contaminants. We then eluted the nucleic acids by resolubilizing in a nucleic acid elution buffer. We then were able to reverse the ProMTag by adding the protein elution buffer and eluted the sample in a mass spectrometry (MS) compatible buffer ready for proteomic analysis. Using this workflow we got yields >75% for protein and >90% for DNA. Gel electrophoresis showed a genomic DNA band free of degradation and the 260/280 absorption ratio indicated a pure DNA sample. Whole genome sequencing and MS proteomics analysis were performed and compared to traditional separate sample preparation workflows for DNA and proteins. This work establishes a new, high yield, reproducible workflow for the simultaneous preparation of DNA and proteins for genomics and proteomic analysis from a single starting sample.

All-Ion Monitoring-Directed Low-Abundance Protein Quantification Reveals CALB2 as a Key Promoter in Hepatocellular Carcinoma Metastasis.

Because of the wide abundance range of the proteome, achieving high-coverage quantification of low-abundance proteins is always a major challenge. In this study, a complete pipeline focused on all-ion monitoring (AIM) is first constructed with the concept of untargeted parallel-reaction monitoring, including the seamless connection of protein sample preparation, liquid chromatography mass spectrometry (LC-MS) acquisition, and algorithm development to enable the in-depth quantitative analysis of low-abundance proteins. This pipeline significantly improves the reproducibility and sensitivity of sample preparation and LC-MS acquisition for low-abundance proteins, enabling all the precursors ions fragmented and collected. Contributed by the advantages of the AIM method with all the target precursor acquisition by the data-dependent acquisition (DDA) approach, together with the ability of data-independent acquisition to fragment all precursor ions, the quantitative accuracy and precision of low-abundance proteins are greatly enhanced. As a proof of concept, this pipeline is employed to discover the key differential proteins in the mechanism of hepatocellular carcinoma (HCC) metastasis. On the basis of the superiority of AIM, an extremely low-abundance protein, CALB2, is proposed to promote HCC metastasis in vitro and in vivo. We also reveal that CALB2 activates the TRPV2-Ca2+-ERK1/2 signaling pathway to induce HCC cell metastasis. In summary, we provide a universal AIM pipeline for the high-coverage quantification of low-abundance functional proteins to seek novel insights into the mechanisms of cancer metastasis.