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Recent progress in biomolecular engineering.

During the next decade or so, there will be significant and impressive advances in biomolecular engineering, especially in our understanding of the biological roles of various biomolecules inside the cell. The advances in high throughput screening technology for discovery of target molecules and the accumulation of functional genomics and proteomics data at accelerating rates will enable us to design and discover novel biomolecules and proteins on a rational basis in diverse areas of pharmaceutical, agricultural, industrial, and environmental applications. As an applied molecular evolution technology, DNA shuffling will play a key role in biomolecular engineering. In contrast to the point mutation techniques, DNA shuffling exchanges large functional domains of sequences to search for the best candidate molecule, thus mimicking and accelerating the process of sexual recombination in the evolution of life. The phage-display system of combinatorial peptide libraries will be extensively exploited to design and create many novel proteins, as a result of the relative ease of screening and identifying desirable proteins. Even though this system has so far been employed mainly in screening the combinatorial antibody libraries, its application will be extended further into the science of protein-receptor or protein-ligand interactions. The bioinformatics for genome and proteome analyses will contribute substantially toward ever more accelerated advances in the pharmaceutical industry. Biomolecular engineering will no doubt become one of the most important scientific disciplines, because it will enable systematic and comprehensive analyses of gene expression patterns in both normal and diseased cells, as well as the discovery of many new high-value molecules. When the functional genomics database, EST and SAGE techniques, microarray technique, and proteome analysis by 2-dimensional gel electrophoresis or capillary electrophoresis in combination with mass spectrometer are all put to good use, biomolecular engineering research will yield new drug discoveries, improved therapies, and significantly improved or new bioprocess technology. With the advances in biomolecular engineering, the rate of finding new high-value peptides or proteins, including antibodies, vaccines, enzymes, and therapeutic peptides, will continue to accelerate. The targets for the rational design of biomolecules will be broad, diverse, and complex, but many application goals can be achieved through the expansion of knowledge based on biomolecules and their roles and functions in cells and tissues. Some engineered biomolecules, including humanized Mab's, have already entered the clinical trials for therapeutic uses. Early results of the trials and their efficacy are positive and encouraging. Among them, Herceptin, a humanized Mab for breast cancer treatment, became the first drug designed by a biomolecular engineering approach and was approved by the FDA. Soon, new therapeutic drugs and high-value biomolecules will be designed and produced by biomolecular engineering for the treatment or prevention of not-so-easily cured diseases such as cancers, genetic diseases, age-related diseases, and other metabolic diseases. Many more industrial enzymes, which will be engineered to confer desirable properties for the process improvement and manufacturing of high-value biomolecular products at a lower production cost, are also anticipated. New metabolites, including novel antibiotics that are active against resistant strains, will also be produced soon by recombinant organisms having de novo engineered biosynthetic pathway enzyme systems. The biomolecular engineering era is here, and many of benefits will be derived from this field of scientific research for years to come if we are willing to put it to good use.

Animals↗

[Analysis of proteomic components of sera from patients with hepatocellular carcinomas by two-dimensional electrophoresis and matrix-assisted laser desorption/ionization time of flying mass spectrometry].

OBJECTIVE: To analyze the proteomic components of the sera from the patients with hepatocellular carcinomas (HCC), in search of the diagnostic markers of HCC. METHODS: Immobilized pH gradient two-dimensional polyacrylamide gel electrophoresis (2DE), silver staining, PDQuest 2DE analysis software, peptide mass fingerprint based on matrix-assisted laser desorption/ionization time of flying mass spectrometry (MALDI-TOF-MS) and SWISS-PROT database searching, were used to separate and identify the proteome of the sera from the patients with HCC. RESULTS: The 2DE images were analysed by PDQuest 2DE software. The average matching rate was 70.2%. In IEF direction, the average deviation was (1.02 +/- 0.22) mm, in SDS-PAGE direction, the deviation was (0.97 +/- 0.14) mm. The twenty-three different protein spots were incised from silver staining gel and digested in-gel by TPCK trypsin. 15 peptide mass fingerprints (PMF) maps were obtained by MOLDI-TOF-MS. The typical peptide masses were searched in the SWISS-PROT database using PeptIdent software. CONCLUSIONS: Good reproducibility could be obtained by applying immobilized pH gradient two-dimensional polyacrylamide gel electrophoresis (2DE) to separate and identify the proteome in serum. There is still the problem of efficiently removing a higher level of proteins and lipids from the serum. Identification by MOLDI-TOF-MS peptide mass fingerprint provides useful information for screening diagnostic markers of human HCC.

Blood Protein Electrophoresis↗

Foundation model enables interpretable open and error-tolerant searching for mass spectrometry-based proteomics.

MOTIVATION: Mass spectrometry-based proteomics allows studying all proteins of a sample on a molecular level. However, mass spectra are noisy and contain complex patterns, making them inherently challenging to analyze with algorithmic approaches. In terms of the protein sequence landscape, most recent bottom-up MS-based proteomics studies consider either a diverse pool of post-translational modifications, employ large databases-as in metaproteomics or proteogenomics, study multiple isoforms of proteins, include unspecific cleavage sites or even combinations thereof. All this makes peptide and protein identifications challenging. RESULTS: Here, we present a foundation model, called yHydra, that jointly embeds spectra and peptides. This allows us to implement various downstream tasks and search modes in Euclidean space. We implement an open search which allows querying multiple ten-thousands of spectra against millions of peptides. Furthermore, we implement an error-tolerant search for identifying additional proteoforms that are not included in off-the-shelf reference proteomes. Our foundation model provides meaningful embeddings, as we interpret learned peptide embeddings in comparison to the peptide's physico-chemical properties. Hydra's open search, assigns delta masses to each identification which allows to unrestrictedly characterize post-translational modifications. The error-tolerant mode of yHydra can be used as post-processing to existing search engines or as a standalone. yHydra is evaluated on several real life data sets for the identification of modified peptide sequences and shows up to 25% increase in peptide identification at constant false discovery rate compared to the current state-of-the-art. AVAILABILITY AND IMPLEMENTATION: Code is available on Gitlab: https://gitlab.com/dacs-hpi/yHydra, and https://gitlab.com/dacs-hpi/yHydra_train.

Proteomics↗

The HUPO Brain Proteome Project--no need to hurry?

The HUPO Brain Proteome Project (HUPO BPP) is dedicated to the analysis of the brain proteome and has initiated two pilot studies in order to elaborate a standardised system for data collection and reprocessing. Samples of mouse brains (different developmental stages) and human brain tissue (biopsy and post-mortem samples) were shipped to different laboratories in Europe, Asia and the US that were invited to identify as many proteins as possible using their own approaches. In addition, a centralised data reprocessing strategy has been elaborated in an iterative way to generate highly reliable lists of identified proteins. This consortium could be a good example for a standardized proteomics workflow.

Animals↗

Integral membrane proteins of the chloroplast envelope: identification and subcellular localization of new transporters.

A two-membrane system, or envelope, surrounds plastids. Because of the integration of chloroplast metabolism within the plant cell, the envelope is the site of many specific transport activities. However, only a few proteins involved in the processes of transport across the chloroplast envelope have been identified already at the molecular level. To discover new envelope transporters, we developed a subcellular proteomic approach, which is aimed to identify the most hydrophobic envelope proteins. This strategy combined the use of highly purified and characterized membrane fractions, extraction of the hydrophobic proteins with organic solvents, SDS/PAGE separation, and tandem mass spectrometry analysis. To process the large amount of MS/MS data, a blast-based program was developed for searching in protein, expressed sequence tag, and genomic plant databases. Among the 54 identified proteins, 27 were new envelope proteins, with most of them bearing multiple alpha-helical transmembrane regions and being very likely envelope transporters. The present proteomic study also allowed us to identify common features among the known and newly identified putative envelope inner membrane transporters. These features were used to mine the complete Arabidopsis genome and allowed us to establish a virtual plastid envelope integral protein database. Altogether, both proteomic and in silico approaches identified more than 50 candidates for the as yet previously uncharacterized plastid envelope transporters. The predictable function of some of these proteins opens up areas of investigation that may lead to a better understanding of the chloroplast metabolism. The present subcellular proteomic approach is amenable to the analysis of the hydrophobic core of other intracellular membrane systems.

Carrier Proteins↗

A proteomic analysis of secreted proteins from xylan-induced Bacillus sp. strain K-1.

The expression level of extracellular proteins in an alkaliphilic bacterium, Bacillus sp. strain K-1, grown in a xylan-containing medium, is significantly increased when compared with that grown in the nonxylan culture medium. A proteomic approach has been efficiently applied to separate and characterize these differentially expressed secretory proteins. Eight prominent protein spots were identified and subjected to N-terminal amino acid sequencing. The results show that three spots share considerable similarity with the xylanolytic enzymes and that two spots share considerable similarity with the GltC regulatory protein and 3-dehydroquinate dehydratase, respectively. In addition, the three other proteins show little similarity with the known proteins in the database. In conclusion, our results demonstrate that the proteomic approach is a highly efficient method to rapidly study the differential expression of the secreted proteins by Bacillus sp. strain K-1 grown under xylan-induced condition.

Bacillus↗

Analysis, statistical validation and dissemination of large-scale proteomics datasets generated by tandem MS.

Tandem mass spectrometry has been used increasingly for high-throughput analysis of complex protein samples. A major challenge lies in the consistent, objective and transparent analysis of the large amounts of data generated by such experiments and in their dissemination and publication. Here, we review currently available computational tools and discuss the need for statistical criteria in the analysis of large proteomics datasets.

Amino Acid Sequence↗

The Lipid Interactome: an interactive and open access platform for exploring cellular lipid-protein interactions.

SUMMARY: Lipid-protein interactions play essential roles in cellular signaling and membrane dynamics, yet their systematic characterization has long been hindered by the inherent biochemical properties of lipids. Recent advances in functionalized lipid probes-equipped with photoactivatable crosslinkers, affinity handles, and photocleavable protecting groups-have enabled proteomics-based identification of lipid interacting proteins with unprecedented specificity and resolution. Despite the growing number of published lipid interactomes, there remains no centralized effort to harmonize, compare, or integrate these datasets. The Lipid Interactome addresses this gap by providing a structured, interactive web portal that adheres to FAIR data principles-ensuring that lipid interactome studies are Findable, Accessible, Interoperable, and Reusable. Through standardized data formatting, interactive visualizations, and direct cross-study comparisons, this resource enables researchers to systematically explore the protein-binding partners of diverse bioactive lipids. By consolidating and curating lipid interactome proteomics data from multiple studies, the Lipid Interactome database serves as a critical tool for deciphering the biological functions of lipids in cellularsystems. AVAILABILITY AND IMPLEMENTATION: This site can be viewed at LipidInteractome.org. All data are available for download. No user information is collected or necessary for data navigation, interaction, or download.

Proteins↗

The human platelet proteome mapped by peptide-centric proteomics: a functional protein profile.

Several studies have been published in which holistic approaches were used to characterise the proteome and transcriptome of human platelets. The key intent being that a deeper understanding of the normal and aberrant physiological functions of platelets can only be achieved if most biomolecular building blocks are mapped. Here we present the application of recently developed novel technologies that overcome some of the shortcomings of gel-based proteomics. Central in our approach is the so-called combined fractional diagonal chromatography (COFRADIC)-technology in which sets of representative peptides are sorted in a diagonal RP chromatographic system through a specific modification of their side chain. In this study we combined three different COFRADIC sorting techniques to analyse the proteome of human platelets. Methionyl, cysteinyl and amino terminal peptides were isolated and analysed by MS/MS. Merging the peptide identifications obtained after database searching resulted in a core set of 641 platelet proteins, which comprises the largest set identified today. In comparison to previously published platelet proteomes, we identified 404 novel platelet proteins containing a high number of hydrophobic membrane proteins and hypothetical proteins. Furthermore we discuss the observed characteristics and potential benefits of each of the different COFRADIC technologies for proteome analysis and highlight important issues that need to be considered when searching sequence databases using data obtained in peptide-centric, non-gel proteomics studies.

Animals↗

Effectiveness of mass spectrometry and genomic analysis in the surveillance of nontuberculous Mycobacterium in Taiwan.

Nontuberculous mycobacteria (NTM) are diverse, and species-level identification remains challenging in routine diagnostics. We analyzed NTM isolates collected at three regional centers of the National Taiwan University Hospital (NTUH) from 2019 to 2024 to assess geographic variation and identification performance after implementation of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Among 3,188 cases meeting the microbiological criteria for probable pulmonary NTM disease, the species distribution differed by region: Mycobacterium avium complex predominated in central Taiwan (Yunlin, 47.3%), whereas M. abscessus complex (Taipei, 26.5%) and M. kansasii (Hsinchu, 12.4%) were more common in northern Taiwan. In 2019, 14.5% of isolates were reported to be unidentified by MALDI-TOF MS; with workflow optimization and database updates, this percentage decreased but plateaued at 4.5-4.8%. Whole-genome sequencing (WGS) of 61 randomly selected persistently unidentified isolates revealed eight average nucleotide identity (ANI)-defined clusters; 55 isolates (90.2%) could not be assigned to known species using current reference databases. Two clusters detected only in Hsinchu were phylogenetically closest to M. kyorinense, with ANI values below the species demarcation threshold. Overall, we observed marked regional heterogeneity of NTM in Taiwan and a persistent identification gap that remained after MALDI-TOF MS optimization and follow-up WGS.IMPORTANCEThis study characterized regional differences in the NTM species distribution across Taiwan, and the results highlight the limitations of current identification approaches. MALDI-TOF MS identifies most isolates, but locally circulating lineages represent a persistent gap in global reference libraries. Even with whole-genome sequencing (WGS), 90.2% (55/61) of persistently unresolved isolates could not be assigned to known species in the current reference databases despite the formation of clear ANI- and phylogeny-defined clusters. These findings show that both proteomic and genomic reference resources for clinical NTM remain incomplete. Expanding regionally representative databases and performing WGS for isolates that remain unresolved by MALDI-TOF MS will be necessary to improve species-level resolution for surveillance and clinical interpretation.

Taiwan↗

SWISS-2DPAGE, ten years later.

The SWISS-2DPAGE database was established in 1993 and is maintained collaboratively by the Swiss Institute of Bioinformatics (SIB) and the Biomedical Proteomics Research Group (BPRG) of the Geneva University Hospital. During these years, SWISS-2DPAGE underwent constant modification and improvement. Current content includes about 4000 identified spots corresponding to 1200 different protein entries in 36 reference maps from human, mouse, Arabidopsis thaliana, Dictyostelium discoideum, Escherichia coli, Saccharomyces cerevisiae and Staphylococcus aureus origins. With a high level of annotation and integration with other relevant databases, SWISS-2DPAGE is a reference source in the proteomics world. Queries to SWISS-2DPAGE database currently reach 1000 hits per day.

Animals↗

Challenges and opportunities in proteomics data analysis.

Accurate, consistent, and transparent data processing and analysis are integral and critical parts of proteomics workflows in general and for biomarker discovery in particular. Definition of common standards for data representation and analysis and the creation of data repositories are essential to compare, exchange, and share data within the community. Current issues in data processing, analysis, and validation are discussed together with opportunities for improving the process in the future and for defining alternative workflows.

Databases, Protein↗

Proteomic study of the soluble proteins from the unicellular cyanobacterium Synechocystis sp. PCC6803 using automated matrix-assisted laser desorption/ionization-time of flight peptide mass fingerprinting.

The unicellular cyanobacteria Synechocystis sp. (PCC6803) has become a model organism for a range of biochemical and molecular biology studies aimed at investigating environmental stress responses. In this study the soluble proteins of Synechocystis were analysed using narrow pH range (pH 4.5-5.5) zoom gels, automated matrix-assisted laser desorption/ionization mass spectrometry acquisition, spectral processing and database searching. The work sets the foundation for investigations of proteomic changes following stress treatment. One hundred and ninety-two protein spots were analysed and 105 proteins identified, of these 37 were novel proteins not previously seen on two-dimensional gels. Proteins involved in amino acid biosynthesis, energy metabolism and protein modification were identified using this fully automated procedure demonstrating that automated acquisition and processing will be a useful tool for proteomic analyses on this organism.

Bacterial Proteins↗

Expanding the organismal scope of proteomics: cross-species protein identification by mass spectrometry and its implications.

Due to the limited applicability of conventional protein identification methods to the proteomes of organisms with unsequenced genomes, researchers have developed approaches to identify proteins using mass spectrometry and sequence similarity database searches. Both the integration of mass spectrometry with bioinformatics and genomic sequencing drive the expanding organismal scope of proteomics.

Amino Acid Sequence↗

[Nano flow multidimensional liquid chromatography for proteome analysis of rat liver].

A nano flow comprehensive multidimensional liquid chromatography was developed. By using this separation platform, complex samples can be injected, desalted, separated and analyzed in complete automatization. Coupling of the strong cation-exchange (SCX) with capillary reversed-phase liquid chromatography (cRPLC) is described for proteomics of rat liver. A step gradient was applied for SCX column, and a linear gradient was applied for RPLC. The flow rate through the nano scale analytical column during the separation process was maintained at 200 nL/min. The peak capacity for the nano-2D-LC was up to 620 under these conditions.

Animals↗

Two-dimensional database of mouse liver proteins: changes in hepatic protein levels following treatment with acetaminophen or its nontoxic regioisomer 3-acetamidophenol.

Overdose of acetaminophen (APAP) causes acute hepatotoxicity in rodents and man. The mechanism underlying APAP-induced liver injury remains unclear, but experimental evidence strongly suggests that activation of APAP and subsequent formation of protein adducts are involved in hepatotoxicity. Using proteomics technologies, we constructed a two-dimensional protein database for mouse liver, comprising 256 different gene products and investigated the proteins affected after APAP-induced hepatotoxicity. Adult male mice received a single dose of APAP (100 or 300 mg/kg) or its nontoxic regioisomer 3-acetamidophenol (AMAP, 300 mg/kg). The extent of liver damage was assessed 8 h after administration by increased liver enzyme release and histopathology. Changes in the protein level were studied by comparison of the intensities of the corresponding spots on two-dimensional (2-D) gels. The expression level of about 35 of the identified proteins was modified due to treatment with APAP or AMAP. The observed changes were usually in the order of 10-50% of the control value and were more marked in the high- than in the low-dose of APAP-treated animals. Most of the changes caused by AMAP occurred in a subset of the proteins modified by APAP. Many of the proteins showing changed expression levels are either known targets for covalent modification by N-acetyl-p-benzoquinoneimine (NAPQI) or involved in the regulation of mechanisms that are believed to drive APAP-induced hepatotoxicity.

Acetaminophen↗

EUDOC: a computer program for identification of drug interaction sites in macromolecules and drug leads from chemical databases.

The completion of the Human Genome Project, the growing effort on proteomics, and the Structural Genomics Initiative have recently intensified the attention being paid to reliable computer docking programs able to identify molecules that can affect the function of a macromolecule through molecular complexation. We report herein an automated computer docking program, EUDOC, for prediction of ligand-receptor complexes from 3D receptor structures, including metalloproteins, and for identification of a subset enriched in drug leads from chemical databases. This program was evaluated from the standpoints of force field and sampling issues using 154 experimentally determined ligand-receptor complexes and four "real-life" applications of the EUDOC program. The results provide evidence for the reliability and accuracy of the EUDOC program. In addition, key principles underlying molecular recognition, and the effects of structural water molecules in the active site and different atomic charge models on docking results are discussed. Copyright 2001 John Wiley & Sons, Inc. J Comput Chem 22: 1750-1771, 2001

Journal Article↗

SELDI-TOF proteomic analysis and cancer detection.

BACKGROUND: In recent years proteomic approaches have been widely used to diagnose disease and the new technology of surface enhanced laser-desorption and ionization time-of-flight mass spectrometry (SELDI-TOF MS) is very promising. METHODS: A review of English language literature was undertaken using Internet databases such as PubMed and Medline for studies using proteomic technologies for the early detection of cancer. RESULTS: SELDI-TOF is an array based mass spectrometric method in which proteins of interest are selectively absorbed onto a chemically modified surface and the mass and amount of each protein is measured by irradiating the surface with a laser and measuring the time-of-flight. The technology has revealed a large number of previously uncharacterized biomarkers for a wide variety of cancers. Its versatility has also been demonstrated by its application as a tool for mining a wide variety of biological tissues and fluids. CONCLUSIONS: The majority of these studies have discriminated between diseased and healthy controls with a high degree of sensitivity and specificity. The reproducibility, standardization and feasibility of this technology need to be addressed before these proteomic approaches to the discovery of novel, highly sensitive diagnostic tools can become routine clinical care.

Biomarkers, Tumor↗