SEARCH · Search PubMed

Results for “quantitative proteomics”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

SourceResearch connectionFrom yearThrough year

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 649 records · Page 36Linked to original sources

PubMed2001

Attenuation of mouse-virulent Toxoplasma gondii parasites is associated with a decrease in interleukin-12-inducing tachyzoite activity and reduced expression of actin, catalase and excretory proteins.

Determinants of Toxoplasma gondii virulence are still unknown, although genetic markers associated with T. gondii pathogenicity or host susceptibility to infection have been identified. To define indicator proteins of mouse virulence, type I strain parasites were attenuated by continuous passage in fibroblast culture and compared with the parental strain passaged in mice. The loss of acute virulence, evident by a 1000-fold higher pathogen dose causing 100% lethality in mice correlated with a less efficient infection of inflammatory cells at the site of inoculation, while parasite proliferation and invasiveness in vitro proved unimpaired. Infection with the attenuated parasites elicited earlier local interleukin-12 and strong interferon-gamma responses in vivo, although the activity that triggers interleukin-12 secretion in macrophages is reduced in the attenuated compared to the virulent strain variant. The interleukin-12-inducing T. gondii stimulus was identified as a protein(s) present in tachyzoite excretory products. Comparative proteome analysis combined with immunodetection and quantitation of a variety of T. gondii antigens indicated that the steady-state levels of actin, catalase, microneme protein 5, as well as dense granule proteins 1, 2, 3, 4, 5, 7, 8 and nucleoside triphosphate hydrolase 1 are decreased in the attenuated phenotype, whereas the surface antigen 1 and rhoptry protein 1 are produced at a similar level by virulent and attenuated parasites. In conclusion, these findings reveal a correlation between the efficient establishment of T. gondii infection in vivo and parasite synthesis of actin, catalase and several excretory proteins, and thus postulate a role for these molecules in acute virulence.

Actins↗

PubMed2026

Enhancement flavor quality in Zhao'an Baxian oolong tea through enhanced turning-over process.

A systematical investigation on the effects of turning-over intensity on the flavor formation of Zhao'an Baxian oolong tea (ZBT) was performed, through a comparative analysis of heavy turning-over (HT) and light turning-over (LT) treatments in this study. The tea samples were subjected to proteomic and metabolomic analyses, combined with quantitative descriptive analysis (QDA) and electronic sensory (E-tongue/E-nose) evaluation. The results demonstrate that HT significantly reduced the content of bitter and astringent compounds, such as catechins and flavonol glycosides, while promoting the accumulation of umami-related amino acids. Concurrently, HT enhanced the biosynthesis of key floral and fruity volatiles, such as β-ocimene, geraniol, benzaldehyde, jasmone by activating stress-responsive metabolic pathways. These coordinated biochemical changes, driven by enzyme-catalyzed reactions in response to prolonged mechanical wounding and environmental stress, collectively improved the overall sensory profile of ZBT. These findings provide a mechanistic foundation for improving ZBT production, with clear implications for quality control and flavor-oriented product development.

Tea↗

PubMed2004

Proteome reference maps of vegetative tissues in pea. An investigation of nitrogen mobilization from leaves during seed filling.

A proteomic approach was used to analyze protein changes during nitrogen mobilization (N mobilization) from leaves to filling seeds in pea (Pisum sativum). First, proteome reference maps were established for mature leaves and stems. They displayed around 190 Coomassie Blue-stained spots with pIs from 4 to 7. A total of 130 spots were identified by mass spectrometry as corresponding to 80 different proteins implicated in a variety of cellular functions. Although the leaf proteome map contained more abundant spots, corresponding to proteins involved in energy/carbon metabolism, than the stem map, their comparison revealed a highly similar protein profile. Second, the leaf proteome map was used to analyze quantitative variations in leaf proteins during N mobilization. Forty percent of the spots showed significant changes in their relative abundance in the total protein extract. The results confirmed the importance of Rubisco as a source of mobilizable nitrogen, and suggested that in pea leaves the rate of degradation of Rubisco may vary throughout N mobilization. Correlated with the loss of Rubisco was an increase in relative abundance of chloroplastic protease regulatory subunits. Concomitantly, the relative abundance of some proteins related to the photosynthetic apparatus (Rubisco activase, Rubisco-binding proteins) and of several chaperones increased. A role for these proteins in the maintenance of a Rubisco activation state and in the PSII repair during the intense proteolytic activity within the chloroplasts was proposed. Finally, two 14-3-3-like proteins, with a potential regulatory role, displayed differential expression patterns during the massive remobilization of nitrogen.

Amino Acid Sequence↗

PubMedDate not supplied

Building integrated approaches for the proteomics of complex, dynamic systems: NIH programs in technology and infrastructure development.

Proteomics technology and methods remain inadequate. Technological constraints contribute to an artificially static view of complex biological systems and a barrier between quantitative and interaction studies. Several NIH programs combine proteomics technology development with research on challenging biological problems to drive progress. A new initiative of the NIH Roadmap focuses on characterization of dynamic systems. The success of these programs will be judged by their impact on relevant biological problems.

Biomedical Research↗

PubMed2006

Proteomic analysis of mitochondria-to-nucleus retrograde response in human cancer.

All tumors examined to date contain mutations in mitochondrial DNA (mtDNA). In addition, depletion of mtDNA is reported in a variety of tumors. Mitochondrial dysfunction resulting from changes in mtDNA invokes mitochondria-to-nucleus retrograde response in human cells. To identify proteins involved in retrograde response and their potential role in tumorigenesis, we carried out a comparative proteomic analysis using a cell line in which the mitochondrial genome was completely depleted (rho(0) cells lacking all mtDNA-encoded protein subunits), a cybrid cell line in which mtDNA was restored, and the parental cell line. Our comparative proteomic approach revealed marked changes in the cellular proteome and led us to identify quantitative changes in expression of several proteins. We found that subunits of complex I and complex III, molecular chaperones, and a protein involved in cell cycle control were downregulated and Inosine 5'-monophosphate dehydrogenase type 2 (IMPDH2) involved in nucleotide biosynthesis was upregulated in rho(0) cells. Our findings demonstrate that the expression of proteins is restored to wild type level by transfer of wild type mitochondria to rho(0) cells, suggesting that these proteins play key roles in retrograde response. To determine a potential role for identified retrograde responsive proteins in tumorigenesis, we analyzed the expression of UQCRC1 gene (encoding ubiquinol cytochrome-c reductase core protein I) in breast and ovarian tumors. We found that (1) UQCRC1 was highly expressed in breast (74%) and ovarian tumors (34%) and (2) the expression positively correlated with cytochrome c-oxidase (COXII) encoded by mtDNA. Our study opens an avenue for identification of retrograde proteins as potential tumor suppressors or oncogenes involved in carcinogenesis.

Adenocarcinoma↗

PubMed2026

Deciphering the Protein Phosphorylation Dynamics Triggered by Seconds of Force Stimulation.

Plants perceive mechanical forces through phosphosignaling networks, but their relationship with gravity signaling remains elusive. To dissect gravity force signaling components, we performed SILIA-based phosphoproteomics on Arabidopsis aerial organs subjected to 20-s inversion or 30-s gravistimulation, identifying 2,733 and 2,878 phosphoproteins, respectively. Quantitative analysis revealed 34 significantly regulated phosphoproteins specific to inversion and 52 specific to gravistimulation. Inversion-specific phosphoproteins, associated with the initial calcium code, likely mediate calcium signals through EF-hand proteins, CPK1, and calmodulin-interacting proteins, potentially intersecting with receptor-like kinase-initiated MAPK cascades via RAF15 and MKK1/2 to induce gravitropic responses. Gravistimulation-specific phosphoproteins, linked to the secondary calcium code, function in calcium signaling/homeostasis (ACA8, ZAC, IQD2, ANNAT1), membrane vesicle trafficking (ABCG36, ARF-GAP8), and lipid signaling (PIP5K8/9), supporting auxin transport and stress signal transduction. Immunoblot validation confirmed treatment-associated phosphosites pS108-PATL3 and pS107-TREPH2, along with inversion-specific pS1145-ATEH2, exhibiting stem-specific phosphorylation enhancement and force-discriminatory responses. Functional analysis identified the integrin-like protein GREPH1 as a key gravitropism regulator, with greph1 mutants displaying reduced inflorescence stem gravicurvature. Notably, hyperphosphorylation of pS107-TREPH2 and pS1145-ATEH2 peaked at 20 to 50 s in greph1 mutants but persisted from 20 s to 2 h in WT plants. These findings establish a stem-enriched phosphorylation code for gravity force discrimination, with GREPH1 modulating spatiotemporal phosphoprotein dynamics and shoot gravicurvature, potentially functioning as a receptor reminiscent of sedimenting plastids.

Arabidopsis↗

PubMed2005

Perspectives in spicing up proteomics with splicing.

In the post-genomics era there has been an acceleration of understanding of cellular and organismal biology and this acceleration has moved the goalposts for proteomics. Higher eukaryotes use alternative promoters, alternative splicing, RNA editing and post-translational modification to produce multiple isoforms of proteins from single genes. Switching amongst these isoforms is a major mechanism for control of cellular function. At present fundamental limitations in sensitivity, in absolute quantitation of proteins and in the characterization of protein structure at functionally important levels strongly limit the applicability of proteomics to higher eukaryotes. Recent developments suggest that quantitative, top-down proteomics analyses of complete proteins at sub-attomole levels are necessary for physiologically relevant studies of higher eukaryotes. New proteomics technologies which will ensure the future of proteomics as an important technology in medicine and cellular biology of higher eukaryotes are becoming available.

Alternative Splicing↗

PubMed2026

Comparison of Proteomic Analysis of Cerebrospinal Fluid From Neurological Patients With and Without Amyotrophic Lateral Sclerosis.

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterised by progressive muscle weakness in both bulbar and extremity muscles, leading to a diverse clinical phenotype with motor and non-motor symptoms. Approximately 85% of ALS cases are sporadic (sALS), while the remaining 10%-15% are familial (fALS). Biological biomarkers of sporadic ALS remain poorly understood, hindering precise patient screening, delaying diagnosis and negatively affecting prognosis. This study aims to identify potential proteomic biomarkers by comparing the cerebrospinal fluid (CSF) of sALS patients with that of patients suffering from other neurological diseases. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used for proteomic profiling of CSF samples from 24 sALS patients and 26 patients with other neurological diseases. The complete protein expression profiles were compared using a two-tailed Student's t-test, with a p < 0.05 considered statistically significant with additional FDR correction at the 0.1 level. Proteomic analysis of CSF samples identified significant quantitative changes in 96 proteins with threshold p < 0.05 and 74 proteins with FDR < 0.1 between sALS and non-ALS patients, including alterations in proteins associated with neurodegenerative processes, such as amyloid precursor proteins and inflammatory markers. CSF proteomic analysis reveals altered inflammatory and neurodegenerative metabolic pathways, providing valuable insights into the proteomic landscape of sALS. Several dysregulated proteins were consistent with the disease mechanisms highlighted in previous studies. These findings represent a step forward in developing personalised approaches for diagnosing and managing the disease.

Humans↗

PubMed2003

Serum protein fingerprinting.

The core technologies in the rapidly expanding field of proteomics have matured to the point where quantitative measurements of thousands of proteins can be conducted, enabling truly global measurements of protein expression. This advent has brought with it the hope of discovering novel biomarkers that promise a renaissance in clinical medicine. To meet this need, many proteomic studies have focused on the identification and subsequent comparative analysis of the thousands of proteins that populate complex biological systems such as serum and tissues. A novel application of mass spectrometry has been in proteomic pattern analysis, which has emerged as an effective method for the early diagnosis of diseases. In stark contrast to 'classical' proteomics, proteomic pattern analysis relies on the pattern of proteins observed, rather than on the discrete identification of a protein. Proteomic pattern technology allows hundreds of clinical samples to be analyzed per day and promises to be a novel, highly sensitive predictive clinical tool to improve diagnostic and prognostic medicine.

Blood Proteins↗

PubMed2005

Novel application of layered expression scanning for proteomic profiling of plucked hair follicles.

BACKGROUND: There is a need for a technology that can quantitatively assay multiple proteins from a single hair follicle while preserving the morphology of the follicle. For proteomic profiling, the technology should be less labor intensive, with a higher throughput, more quantitative and more reproducible than immunohistochemistry. OBJECTIVE: To test the ability of a novel method, layered expression scanning of hair (LES-hair) to detect the levels and localization of proteins in plucked hair follicles. METHODS: LES-hair was used to assay proteins in the plucked hair follicle. RESULTS: LES-hair detected differential expression of proteins within discrete regions of the plucked hair follicle. These proteins included cleaved caspase 3, Ki-67 and the phosphorylated forms of c-Kit, epidermal growth factor receptor and vascular endothelial growth factor receptor. CONCLUSION: LES-hair provides a research tool for studying the basic biology of plucked hair follicles and has potential clinical applications such as monitoring treatment of alopecia or using plucked hair follicles as a surrogate tissue to monitor pharmacodynamic effects of targeted cancer therapies.

Adult↗

PubMed2005

Advances in the analysis of proteins and peptides by capillary electrophoresis with matrix-assisted laser desorption/ionization and electrospray-mass spectrometry detection.

High throughput, outstanding certainty in peptide/protein identification, exceptional resolution, and quantitative information are essential pillars in proteome research. Capillary electrophoresis (CE) coupled to mass spectrometry (MS) has proven to meet these requirements. Soft ionization techniques, such as matrix-assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI), have paved the way for the story of success of CE-MS in the analysis of biomolecules and both approaches are subject of discussion in this article. Meanwhile, CE-MS is far away from representing a homogeneous field. Therefore the review will cover a vast area including the coupling of different modes of CE (capillary zone electrophoresis, capillary isoelectric foscusing, capillary electrochromatography, micellar electrokinetic chromatography, nonaqueous capillary electrophoresis) to MS as well as on-line preconcentration techniques (transient capillary isotachophoresis, solid-phase extraction, membrane preconcentration) applied to compensate for restricted detection sensitivity. Special attention is given to improvements in interfacing, namely addressing nanospray and coaxial sheath liquid design. Peptide mapping, collision-induced dissociation with subsequent tandem MS, and amendments in mass accuracy of instruments improve information validity gained from MS data. With 2-D on-line coupling of liquid chromatography (LC) and CE a further topic will be discussed. A special section is dedicated to recent attempts in establishing CE-ESI-MS in proteomics, in the clinical and diagnostic field, and in the food sector.

Electrophoresis, Capillary↗

PubMed2006

Differential expression analysis of Escherichia coli proteins using a novel software for relative quantitation of LC-MS/MS data.

The study of changes in protein levels between samples derived from cells representing different biological conditions is a key to the understanding of cellular function. There are two main methods available that allow both for global scanning for significantly varying proteins and targeted profiling of proteins of interest. One method is based on 2-D gel electrophoresis and image analysis of labelled proteins. The other method is based on LC-MS/MS analysis of either unlabelled peptides or peptides derived from isotopically labelled proteins or peptides. In this study, the non-labelling approach was used involving a new software, DeCyder MS Differential Analysis Software (DeCyder MS) intended for automated detection and relative quantitation of unlabelled peptides in LC-MS/MS data. Total protein extracts of E. coli strains expressing varying levels of dihydrofolate reductase and integron integrase were digested with trypsin and analyzed using a nanoscale liquid chromatography system, Ettan MDLC, online connected to an LTQTM linear ion-trap mass spectrometer fitted with a nanospray interface. Acquired MS data were subjected to DeCyder MS analysis where 2-D representations of the peptide patterns from individual LC-MS/MS analyses were matched and compared. This approach to unlabelled quantitative analysis of the E. coli proteome resulted in relative protein abundances that were in good agreement with results obtained from traditional methods for measuring protein levels.

Amino Acid Sequence↗

PubMed2004

Automated interpretation of mass spectra of complex mixtures by matching of isotope peak distributions.

Mass spectrometry is now firmly established as a powerful technique for the identification and characterization of proteins when used in conjunction with sequence databases. Various approaches involving stable-isotope labeling have been developed for quantitative comparisons between paired samples in proteomic expression analysis by mass spectrometry. However, interpretation of such mass spectra is far from being fully automated, mainly due to the difficulty of analyzing complex patterns resulting from the overlap of multiple peaks arising from the assortment of natural isotopes. In order to facilitate the interpretation of a complex mass spectrum of such a mixture, such as an MS spectrum of a stable-isotope-enriched ion species, we report on the development of a software application, 'Matching' (web accessible), that enables the automatic matching of theoretical isotope envelopes to multiple ion peaks in a raw spectrum. It is particularly useful for resolving the relative abundances of narrow-split paired peaks caused by enrichment with a stable isotope, such as 18O, 13C, 2H, or 15N.

Algorithms↗

PubMed2001

Cancer proteomics: from signaling networks to tumor markers.

Along with the great strides that have been made towards understanding cancer, has come a realization of the complexity of molecular events that lead to malignancy. Proteomics-based approaches, which enable the quantitative investigation of both cellular protein expression levels and protein-protein interactions involved in signaling networks, promise to define the molecules controlling the processes involved in cancer.

Animals↗

PubMed2005

[Inherited metabolic diseases: benefits of metabolomics].

Both hope and illusion, the recent progress in biology has raised our expectations that one day it will be possible to introduce a biological sample into an apparatus which will then deliver in a few minutes thousands of qualitative and quantitative data concerning the genome, transcriptome, proteome and metabolome, thereby contributing to diagnosis and follow-up of diseases which are now difficult to identify. Such machines do not exist yet and, in any case, should be associated with the appropriate and adequate clinical work on the disease and with the patient. This << total >> approach is of course being pushed by the recent decoding of the genomes of several species (genomics), the development of high throughput analysis of mRNAs (transcriptomics), and the efforts to identify the protein products on a large scale (proteomics). Wide sectors of medicine are waiting for the results of these new medium and high throughput technological approaches, for example, in order to identify early markers of diseases. The object of this article is to present a biochemist's point of view on hereditary metabolic diseases (also referred to as inborn errors of metabolism), a field of medicine and research covering very diverse clinical and biochemical aspects. Significant advances will be made possible by improving the present methods of analysis of the metabolome which establishes a link between genotypes and phenotypes, an area now called metabolomics. The contribution of proteomics will be important as well but will still require some time.

Clinical Chemistry Tests↗

PubMed2001

Quantitation of the RNA polymerase II transcription machinery in yeast.

TAP tags and dot blot analysis have been used to measure the amounts of RNA polymerase II transcription proteins in crude yeast extracts. The measurements showed comparable amounts of RNA polymerase II, TFIIE, and TFIIF, lower levels of TBP and TFIIB, and still lower levels of Mediator and TFIIH. These findings are consistent with the presumed roles of the transcription proteins, but do not support the idea of their recruitment in a single large complex to RNA polymerase II promoters. The approach employed here can be readily extended to quantitative analysis of the entire yeast proteome.

Cell Division↗

PubMedDate not supplied

Quantitation of molecular endpoints for the dose-response component of cancer risk assessment.

Cancer risk assessment involves the steps of hazard identification, dose-response assessment, exposure assessment, and risk characterization. The rapid advances in the use of molecular biology approaches has had an impact on all 4 components, but the greatest overall current and future impact will be on the dose-response assessment because this requires an understanding of the mechanisms of carcinogenesis, both background and induced by environmental agents. In this regard, hazard identification is a qualitative assessment and dose-response is a quantitative estimate. Thus, the latter will ultimately require a quantitative assessment of molecular endpoints that are used to describe the dose-response for cancer. It has been possible for many years to quantitate alterations at the level of the single gene. For example, analysis of mutation frequency by phenotypic selection, analysis of transcription (mRNA) by Northern blot, analysis of translation (proteins) by Western blot, and analysis of kinetics of metabolism from metabolite levels. However, it is becoming clear that it is necessary when considering risk for adverse health outcomes to develop quantitative approaches for whole cell phenotypes or organ effects. For example, cancer is a whole tissue phenotype, not a feature of single gene mutations, in spite of the multistep (multimutation) mode of formation of a tumor. Thus, there is the need to quantitate the circuitry of a cell: the metabolic/biochemical pathways, genetic regulation pathways, and signaling pathways in normal and stressed conditions. The hypothesis presented by Hanahan and Weinberg of the requirement for 6 acquired characteristics for tumor development, independent of tissue type and species or inducer, seems to provide a viable approach. This hypothesis can be addressed through whole cell molecular assessment using microarrays and quantitative PCR together with the emerging proteomic approaches. This is the world of the new computational cell biology.

Animals↗

PubMed2001

Systems biology: the reincarnation of systems theory applied in biology?

With the availability of quantitative data on the transcriptome and proteome level, there is an increasing interest in formal mathematical models of gene expression and regulation. International conferences, research institutes and research groups concerned with systems biology have appeared in recent years and systems theory, the study of organisation and behaviour per se, is indeed a natural conceptual framework for such a task. This is, however, not the first time that systems theory has been applied in modelling cellular processes. Notably in the 1960s systems theory and biology enjoyed considerable interest among eminent scientists, mathematicians and engineers. Why did these early attempts vanish from research agendas? Here we shall review the domain of systems theory, its application to biology and the lessons that can be learned from the work of Robert Rosen. Rosen emerged from the early developments in the 1960s as a main critic but also developed a new alternative perspective to living systems, a concept that deserves a fresh look in the post-genome era of bioinformatics.

Causality↗