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An improved method for the in vitro evolution of aptamers and applications in protein detection and purification.

One of the key components of proteomics initiatives is the production of high affinity ligands or probes that specifically recognize protein targets in assays that detect and capture proteins of interest. Particularly versatile probes with tremendous potential for use as affinity molecules are aptamers. Aptamers are short single-stranded DNA or RNA sequences that are selected in vitro based on affinity for a target molecule. Aptamers offer advantages over traditional antibody-based affinity molecules in their ease of production, regeneration and stability, largely due to the chemical properties of nucleic acids versus amino acids. We describe an improved in vitro selection protocol that relies on magnetic separations for DNA aptamer production that is relatively easy and scalable without the need for expensive robotics. We demonstrate the ability of aptamers that recognize thyroid transcription factor 1 (TTF1) to bind their target protein with high affinity and specificity, and detail their uses in a number of assays. The TTF1 aptamers were characterized using surface plasmon resonance, and shown to be useful for enzyme-linked assays, western blots and affinity purification.

Animals↗

Multi-omics reveals that burdock seed aglycone alleviates renal fibrosis by restoring mitochondrial oxidative phosphorylation function.

Renal fibrosis (RF), a common pathological process driving chronic kidney disease (CKD) progression to end-stage renal failure, is closely associated with oxidative phosphorylation (OXPHOS). Arctigenin (ATG), the main active component of burdock seed, exhibits anti-inflammatory and anti-fibrotic activities, but its mechanisms in RF treatment remain unclear. Here, we performed integrated transcriptomic and proteomic analyses to identify key targets and pathways of ATG in a unilateral ureteral obstruction-induced rat RF model. Multi-omics enrichment analysis revealed that NDUFS8 and NDUFS2 were the core targets of ATG, with the OXPHOS pathway as the central intersecting pathway. Our results suggest that ATG exerts anti-renal fibrosis effects by targeting the OXPHOS pathway to inhibit excessive reactive oxygen species production and oxidative stress. SIGNIFICANCE: Chronic kidney disease (CKD) continues to impose an escalating global health and socioeconomic burden, while renal fibrosis (RF), as the convergent pathological endpoint of virtually all progressive nephropathies, remains the principal determinant of irreversible renal failure and adverse clinical outcomes. Despite extensive efforts to develop antifibrotic therapies, effective clinical interventions remain elusive, largely due to the complex and multifactorial nature of RF pathogenesis. In this study, we employed an integrated multi-omics framework encompassing transcriptomics, proteomics, and metabolomics to systematically decipher the antifibrotic mechanism of arctigenin (ATG), a bioactive natural compound derived from traditional Chinese medicine. Our findings identify mitochondrial oxidative phosphorylation as the pivotal regulatory axis underlying the renoprotective effects of ATG and further establish key catalytic subunits of mitochondrial complex I as its direct molecular targets. Mechanistically, ATG not only restores complex I activity and reprograms mitochondrial energy metabolism but also preserves the intracellular stability and localization of these subunits, thereby preventing their aberrant release-mediated inflammatory activation and disrupting the self-perpetuating cycle linking metabolic dysfunction, inflammation, and fibrosis progression. Beyond revealing a previously unrecognized dual mechanism integrating metabolic and inflammatory regulation, this study provides compelling evidence that mitochondrial dysfunction is not merely a secondary consequence of tissue injury but a fundamental driver of fibrotic remodeling. Importantly, our work highlights the translational potential of natural product-based mitochondrial interventions for CKD treatment and supports a broader conceptual shift toward metabolism-centered therapeutic strategies for chronic fibrotic diseases. Given the central role of mitochondrial dysfunction across multiple organs, these findings may also have far-reaching implications for the treatment of systemic fibrosis-related disorders beyond the kidney.

Animals↗

Proteomic analysis of the adaptive response of rat renal proximal tubules to metabolic acidosis.

Proximal tubules were isolated from control and acidotic rats by collagenase digestion and Percoll density gradient centrifugation. Western blot analysis indicated that the tubules were approximately 95% pure. The samples were analyzed by two-dimensional difference gel electrophoresis (DIGE) and DeCyder software was used to quantify the temporal changes in proteins that exhibit enhanced or reduced expression. The mass-to-charge ratios and the amino acid sequences of the recovered tryptic peptides were determined by MALDI-TOF/TOF mass spectrometry and the proteins were identified using Mascot software. This analysis confirmed the well-characterized adaptive responses in glutaminase (GA), glutamate dehydrogenase (GDH), and phosphoenolpyruvate carboxykinase (PEPCK). This approach also identified 17 previously unrecognized proteins that are increased with ratios of 1.5 to 5.6 and 16 proteins that are decreased with ratios of 0.67 to 0.03 when tubules from 7-day acidotic vs. control rats were compared. Some of these changes were confirmed by Western blot analysis. Temporal studies identified proteins that were induced either with rapid kinetics similar to PEPCK or with more gradual profiles similar to GA and GDH. All of the mRNAs that encode the latter proteins contain an AU sequence that is homologous to the pH response element found in GA mRNA. Thus selective mRNA stabilization may be a predominant mechanism by which protein expression is increased in response to acidosis.

Acidosis↗

Sumoylation of heterogeneous nuclear ribonucleoproteins, zinc finger proteins, and nuclear pore complex proteins: a proteomic analysis.

SUMO, a small ubiquitin-related modifier, is known to covalently attach to a number of nuclear regulatory proteins such as p53, IkappaB, promyelocytic leukemia protein and c-Jun. The sumoylation reaction is catalyzed by the SUMO protease, which exposes the C-terminal active glycine residue of the nascent SUMO, the heterodimeric SUMO activating enzyme, the SUMO conjugating enzyme, Ubc9, and SUMO protein ligases, in a manner similar to ubiquitinylation. Identification of SUMO-regulated proteins is hampered by the fact that many sumoylated proteins are present at a level below normal detection limit. This limitation was overcome by either in vivo overexpression of Myc-SUMO or in vitro sumoylation with excess biotin-SUMO and Ubc9. Sumoylated proteins so obtained were affinity purified or isolated by immunoprecipitation. The isolated sumoylated proteins were identified by sequence analysis using mass spectrometric methods. Results reveal that several heterogeneous nuclear ribonucleoproteins (hnRNPs), zinc finger proteins, and nuclear pore complex proteins were sumoylated. The sumoylation of hnRNP A1, hnRNP F, and hnRNP K were confirmed in vivo by coimmunoprecipitation. In view of the facts that hnRNPs have been implicated in RNA splicing, transport, stability, and translation, our findings suggest that sumoylation could play an important role in regulating mRNA metabolism.

Amino Acid Sequence↗

Dehydron: a structurally encoded signal for protein interaction.

We introduce a quantifiable structural motif, called dehydron, that is shown to be central to protein-protein interactions. A dehydron is a defectively packed backbone hydrogen bond suggesting preformed monomeric structure whose Coulomb energy is highly sensitive to binding-induced water exclusion. Such preformed hydrogen bonds are effectively adhesive, since water removal from their vicinity contributes to their stability. At the structural level, a significant correlation is established between dehydrons and sites for protein complexation, with the HIV-1 capsid protein P24 complexed with antibody light-chain FAB25.3 providing the most dramatic correlation. Furthermore, the number of dehydrons in homologous similar-fold proteins from different species is shown to be a signature of proteomic complexity. The techniques are then applied to higher levels of organization: The formation of the capsid and its organization in picornaviruses correlates strongly with the distribution of dehydrons on the rim of the virus unit. Furthermore, antibody contacts and crystal contacts may be assigned to dehydrons still prevalent after the capsid has been assembled. The implications of the dehydron as an encoded signal in proteomics, bioinformatics, and inhibitor drug design are emphasized.

Amino Acid Motifs↗

Characterization of a recombinant outer surface protein A (OspA) vaccine against Lyme disease.

Lyme disease, the most prevalent tick-borne disease in the United States, results from infection with Borrelia burgdorferi sensu stricto. Early studies of Borrelia burgdorferi sensu stricto identified outer surface protein A (OspA), a lipoprotein on the surface of spirochetes that could be the target of protective antibodies to this agent. Pasteur Mérieux Connaught has developed a Lyme vaccine, ImuLyme, using recombinant OspA protein (rOspA). Methods were developed to routinely assess the identity, quantity, structure, purity, biological activity, heterogeneity, stability, and potency of rOspA. In addition, several methods were performed on a series of lots to support the routine testing methods and further our understanding of the physicochemical characteristics of rOspA. These tests were electrospray mass spectrometry, circular dichroism, two-dimensional gel electrophoresis, amino acid analysis, peptide mapping with peptide sequencing, and the application of proteomic methodology to identify trace contaminant host cell proteins. The results of these methods indicate that the rOspA lots are composed of highly purified and properly processed and folded rOspA with trace amounts of E. coli host cell proteins.

Amino Acid Sequence↗

Proteomics of the venom from the Amazonian scorpion Tityus cambridgei and the role of prolines on mass spectrometry analysis of toxins.

Scorpion venom are complex mixtures of peptides, known to cause impairment of ion-channel function in biological membranes. This report describes the separation of approximately 60 different components by high performance liquid chromatography and the characterization by Edman degradation and mass spectrometry of 26 peptides from the soluble venom of the Amazonian scorpion Tityus cambridgei. One of these peptides, named Tc48a, was fully characterized. It contains 65 amino acid residues, the C-terminal residue is amidated and it affects Na(+)-channels with a K(d) of about 82 nM. Furthermore, this report shows the thermo-instability of scorpion toxins subjected to electron spray ionization-mass spectrometry (ESI-MS). When a proline residue is located near the N-terminal region of the toxin, not stabilized by disulfide bridges, artificial components are generated by the mass spectrometer conditions, due to the cleavage of the peptide bond at the proline positions. This phenomenon was confirmed by using four model proteins (variable regions of immunoglobulins) studied by ESI-MS and matrix assisted laser desorption ionization-time of flight (MALDI-TOF)/MS.

Amino Acid Sequence↗

Exosomal proteomics reveals fatty acid metabolism linked to gefitinib resistance in non-small cell lung cancer.

Exosomes play a crucial role in the transmission of drug resistance in tumors. However, the mechanism of exosomes-mediated transmission in non-small cell lung cancer (NSCLC) under gefitinib treatment remains limited. In this work, we demonstrated that exosomes derived from HCC827/GR cells (drug-resistant) enhanced the survivability of HCC827 cells (drug-sensitive) under treatment with gefitinib. A total of 157 shared upregulated proteins between exosomes and their parent cells were identified in the comparison of the gefitinib-resistant groups versus the gefitinib-sensitive groups. Notably, 69 of these shared proteins are enzymes, and many of them were enriched in pathways related to fatty acid metabolism. Among these enzymes involved in fatty acid metabolism, ACC1 exhibited the highest fold change in upregulated expression in both drug-resistant groups (exosomes and cells). Moreover, the expression of ACC1 was upregulated in gefitinib-sensitive cells after uptake of exosomes from gefitinib-resistant cells. The role of ACC1 in enhancing the survival of HCC827/GR cells under gefitinib treatment was demonstrated using an inhibitor and siRNA-mediated knockdown. Specifically, the upregulated ACC1 stabilized fatty acid oxidation and reactive oxygen species levels in HCC827/GR cells, thereby maintaining cellular metabolic homeostasis. Collectively, this work reveals the transmission of drug resistance in NSCLC via exosomes that carry the ACC1 protein.

Humans↗

Improved affinity coupling for antibody microarrays: engineering of double-(His)6-tagged single framework recombinant antibody fragments.

Antibody-based microarray is a novel technology with great promise in biomedicine that will provide unique means to perform global proteome analysis. In the process of designing the high-density antibody microarrays required, several critical key issues have been identified that remain to be resolved. In particular, there is a great need for specific and selective approaches enabling non-purified probes to be directly purified, orientated and coupled in a generic one-step procedure directly on the chip. In this study, we report on the successful design of affinity-tagged human recombinant single-chain fragment variable antibody fragments for improved affinity coupling in array applications. By replacing the standard single-histidine (His)(6)-tag with a consecutive double-(His)(6)-tag, the binding to Ni(2+)-nitrilotriacetic acid-coated substrates was significantly improved. Surface plasmon resonance analysis showed a significantly tighter binding with at least a threefold slower dissociation. The improved binding characteristics thus enabled non-purified probes even in the format of crude expression supernatants to be directly applied thereby eliminating the need for any time-consuming pre-purification step(s) prior to the immobilization. While the double-(His)(6)-tag probes were found to be expressed equally well as compared to the single-(His)(6)-tag probes, they displayed better long-term functional on-chip stability. Taken together, the results demonstrate the generic potential of double-(His)(6)-tag recombinant antibodies for the facile fabrication of high-density antibody microarrays.

Antibodies↗

Identification of two tRNA thiolation genes required for cell growth at extremely high temperatures.

Thermostability of tRNA in thermophilic bacteria is effected by post-transcriptional modifications, such as 2-thioribothymidine (s2T) at position 54. Using a proteomics approach, we identified two genes (ttuA and ttuB; tRNA-two-thiouridine) that are essential for the synthesis of s2T in Thermus thermophilus. Mutation of either gene completely abolishes thio-modification of s2T, and these mutants exhibit a temperature-sensitive phenotype. These results suggest that bacterial growth at higher temperatures is achieved through the thermal stabilization of tRNA by a 2-thiolation modification. TtuA (TTC0106) is possibly an ATPase possessing a P-loop motif. TtuB (TTC0105) is a putative thio-carrier protein that exhibits significant sequence homology with ThiS of the thiamine synthesis pathway. Both TtuA and TtuB are required for in vitro s2T formation in the presence of cysteine and ATP. The addition of cysteine desulfurases such as IscS (TTC0087) or SufS (TTC1373) enhances the sulfur transfer reaction in vitro.

Amino Acid Motifs↗

Protein disorder prediction: implications for structural proteomics.

A great challenge in the proteomics and structural genomics era is to predict protein structure and function, including identification of those proteins that are partially or wholly unstructured. Disordered regions in proteins often contain short linear peptide motifs (e.g., SH3 ligands and targeting signals) that are important for protein function. We present here DisEMBL, a computational tool for prediction of disordered/unstructured regions within a protein sequence. As no clear definition of disorder exists, we have developed parameters based on several alternative definitions and introduced a new one based on the concept of "hot loops," i.e., coils with high temperature factors. Avoiding potentially disordered segments in protein expression constructs can increase expression, foldability, and stability of the expressed protein. DisEMBL is thus useful for target selection and the design of constructs as needed for many biochemical studies, particularly structural biology and structural genomics projects. The tool is freely available via a web interface (http://dis.embl.de) and can be downloaded for use in large-scale studies.

Circular Dichroism↗

Liquid chromatography-mass spectrometry and 15N metabolic labeling for quantitative metabolic profiling.

Metabolomics, i.e., the global analysis of cellular metabolites, is becoming a powerful tool for gaining insights into biological functions in the postgenomic context. However, absolute quantitation of endogenous metabolites in biological media remains an issue, and available technologies for the analysis of metabolome still lack robustness and accuracy. We describe here a new method based on liquid chromatography-mass spectrometry and (15)N uniform metabolic labeling of Saccharomyces cerevisiae for accurate and absolute quantitation of nitrogen-containing cell metabolites in metabolic profiling experiments. As a proof of concept study, eight sulfur metabolites involved in the glutathione biosynthesis pathway (i.e., cysteine, homocysteine, methionine, gamma-glutamylcysteine, cystathionine, reduced and oxidized forms of glutathione, and S-adenosylhomocysteine) were simultaneously quantified. The analytical method has been validated by studies of stability, selectivity, precision, and linearity and by the determination of the limits of detection and quantification. It was then applied to the analysis of extracts from cadmium-treated yeasts. In these conditions, the intracellular concentrations of most of the metabolites involved in the glutathione biosynthesis pathway were increased when compared to control extracts. These data correlate with previous proteomic results and also underline the importance of glutathione in cadmium detoxication.

Cadmium↗

Ribosome display for improved biotherapeutic molecules.

Ribosome display presents an innovative in vitro technology for the rapid isolation and evolution of high-affinity peptides or proteins. Displayed proteins are bound to and recovered from target molecules in multiple rounds of selection in order to enrich for specific binding proteins. No transformation step is necessary, which could lead to a loss of library diversity. A cycle of display and selection can be performed in one day, enabling the existing gene repertoire to be rapidly scanned. Proteins isolated from the panning rounds can be further modified through random or directed molecular evolution for affinity maturation, as well as selected for characteristics such as protein stability, folding and functional activity. Recently, the field of display technologies has become more prominent due to the generation of new scaffolds for ribosome display, isolation of high-affinity human antibodies by phage display, and their implementation in the discovery of novel protein-protein interactions. Applications for this technology extend into the broad field of antibody engineering, proteomics, and synthetic enzymes for diagnostics and therapeutics in cancer, autoimmune and infectious diseases, neurodegenerative diseases and inflammatory disorders. This review highlights the role of ribosome display in drug discovery, discusses advantages and disadvantages of the system, and attempts to predict the future impact of ribosome display technology on the development of novel engineered biopharmaceutical products for biological therapies.

Animals↗

Immunoassay and antibody microarray analysis of the HUPO Plasma Proteome Project reference specimens: systematic variation between sample types and calibration of mass spectrometry data.

Four different immunoassay and antibody microarray methods performed at four different sites were used to measure the levels of a broad range of proteins (N = 323 assays; 39, 88, 168, and 28 assays at the respective sites; 237 unique analytes) in the human serum and plasma reference specimens distributed by the Plasma Proteome Project (PPP) of the HUPO. The methods provided a means to (1) assess the level of systematic variation in protein abundances associated with blood preparation methods (serum, citrate-anticoagulated-plasma, EDTA-anticoagulated-plasma, or heparin-anticoagulated-plasma) and (2) evaluate the dependence on concentration of MS-based protein identifications from data sets using the HUPO specimens. Some proteins, particularly cytokines, had highly variable concentrations between the different sample preparations, suggesting specific effects of certain anticoagulants on the stability or availability of these proteins. The linkage of antibody-based measurements from 66 different analytes with the combined MS/MS data from 18 different laboratories showed that protein detection and the quality of MS data increased with analyte concentration. The conclusions from these initial analyses are that the optimal blood preparation method is variable between analytes and that the discovery of blood proteins by MS can be extended to concentrations below the ng/mL range under certain circumstances. Continued developments in antibody-based methods will further advance the scientific goals of the PPP.

Blood Proteins↗

Hierarchical analysis of large-scale two-dimensional gel electrophoresis experiments.

Large-scale two-dimensional gel experiments have the potential to identify proteins that play an important role in elucidating cell mechanisms and in various stages of drug discovery. Such experiments, typically including hundreds or even thousands of related gels, are notoriously difficult to perform, and analysis of the gel images has until recently been virtually impossible. In this paper we describe a scalable computational model that permits the organization and analysis of a large gel collection. The model is implemented in Compugen's Z4000 system. Gels are organized in a hierarchical, multidimensional data structure that allow the user to view a large-scale experiment as a tree of numerous simpler experiments, and carry out the analysis one step at a time. Analyzed sets of gels form processing units that can be combined into higher level units in an iterative framework. The different conditions at the core of the experiment design, termed the dimensions of the experiment, are transformed from a multidimensional structure to a single hierarchy. The higher level comparison is performed with the aid of a synthetic "adaptor" gel image, called a Raw Master Gel (RMG). The RMG allows the inclusion of data from an entire set of gels to be presented as a gel image, thereby enabling the iterative process. Our model includes a flexible experimental design approach that allows the researcher to choose the condition to be analyzed a posteriori. It also enables data reuse, the performing of several different analysis designs on the same experimental data. The stability and reproducibility of a protein can be analyzed by tracking it up or down the hierarchical dimensions of the experiment.

Computational Biology↗

Multidimensional Protein Corona Analysis Toward Predictive Nano-Bio Interface Design.

Nanoparticles entering biological fluids are rapidly coated by proteins and other biomolecules, converting their synthetic surfaces into biologically active nano-bio interfaces. These coronas regulate colloidal stability, immune recognition, cellular uptake, biodistribution, pharmacokinetics, cargo delivery, and toxicity. Yet a protein list obtained by mass spectrometry captures only part of this interface. Corona identity and function are also shaped by protein organization, binding stability, exchange dynamics, conformational changes, and molecular accessibility. Here, we discuss recent progress in protein corona isolation and analysis from a question-oriented analytical perspective, with emphasis on how centrifugation, magnetic recovery, affinity- or chemistry-enabled capture, chromatography, filtration, and field-flow fractionation (FFF) influence the fidelity, integrity, and comparability of recovered coronas. We then examine how proteomic profiling can be integrated with binding measurements, interfacial structural analysis and functional validation to distinguish descriptive corona signatures from biologically meaningful mechanisms. We further consider how biofluid composition, disease state, tissue interfaces and cellular environments remodel corona identity, presentation, and bioactivity. Finally, we argue that standardized reporting, computational modeling, and AI-enabled approaches are essential for converting protein corona datasets into reproducible and predictive knowledge that can guide the design of drug delivery systems and precision nanomedicines.

Protein Corona↗

Gain-of-function PPM1D mutations attenuate ischemic stroke.

Identification of genetic aberrations in stroke, the second leading cause of death worldwide, is of paramount importance for understanding the disease pathogenesis and generating new therapies. Whole-genome sequencing from 10,241 ischemic stroke patients identified eight patients carrying gain-of-function mutations on coding variants in the protein phosphatase magnesium-dependent 1 δ (PPM1D) gene. Patients carrying PPM1D mutations exhibit better stroke-related clinical phenotypes, including improvements in peripheral inflammation, fibrinogen, low-density lipoprotein, cholesterol and plateletcrit level. Experimental brain ischemia in Ppm1d-deficient (Ppm1d-/-) mice resulted in enlarged lesions and pronounced neurological impairments. Spatial transcriptomics revealed a distinct Ppm1d-associated gene expression pattern, indicating disrupted endothelial homeostasis during ischemic brain injury. Proteomic analysis demonstrated that differentially expressed proteins in primary brain endothelial cells from Ppm1d-/- mice were significantly enriched in the peroxisome proliferator-activated receptors (PPARs)-mediated metabolic signaling. Mechanistically, Ppm1d deficiency promoted aberrant fatty acid β-oxidation and increased oxidative stress, which impaired endothelial cell function through the PPARα pathway. A small molecule, T2755, was identified to engage Trp427 and stabilize PPM1D, thereby mitigating ischemic brain injury in mice. Collectively, we find that PPM1D protects against ischemic brain injury and validates its pharmacological stabilizer T2755 as a promising therapy for ischemic stroke. Gain-of-function PPM1D mutations attenuate ischemic cerebral injury. Whole-genome sequencing data of 10,241 ischemic stroke patients from the Third Chinese National Stroke Registry (CNSR-III) identified eight patients with gain-of-function mutations in the protein phosphatase magnesium-dependent 1 δ (PPM1D) gene (17q23.2). These mutation carriers displayed improved peripheral inflammation, decreased fibrinogen, low-density lipoprotein, cholesterol and plateletcrit level. Ppm1d-deficient (Ppm1d-/-) mice exhibited exacerbated stroke outcomes, characterized by enlarged infarct volumes, disrupted cerebrovascular architecture, and enhanced neuro-inflammation. Mechanistically, Ppm1d deficiency induced the disturbance of endothelial fatty acid metabolism involving the PPARα pathway. Through integrated computational modeling, virtual screening, and in vitro validation, T2755 was identified as a small molecule PPM1D stabilizer. Pharmacological PPM1D stabilization with T2755 significantly attenuated ischemic brain injury in murine models.

Aged↗

DNA microarray normalization methods can remove bias from differential protein expression analysis of 2D difference gel electrophoresis results.

MOTIVATION: Two-dimensional Difference Gel Electrophoresis (DIGE) measures expression differences for thousands of proteins in parallel. In contrast to DNA microarray analysis, however, there have been few systematic studies on the validity of differential protein expression analysis, and the effects of normalization methods have not yet been investigated. To address this need, we assessed a series of same-same comparisons, evaluating how random experimental variance influenced differential expression analysis. RESULTS: The strong fluctuations observed were reflected in large discrepancies between the distributions of the spot intensities for different gels. Correct normalization for pooling of multiple gels for analysis is, therefore, essential. We show that both dye-specific background levels and the differences in scale of the spot intensity distributions must be accounted for. A variance stabilizing transform that had been developed for DNA microarray analysis combined with a robust Z-score allowed the determination of gel-independent signal thresholds based on the empirical distributions from same-same comparisons. In contrast, similar thresholds holding up to cross-validation could not be proposed for data normalized using methods established in the field of proteomics. AVAILABILITY: Software is available on request from the authors. SUPPLEMENTARY INFORMATION: There is supplementary material available online at http://www.flychip.org.uk/kreil/pub/2dgels/

Algorithms↗