Relevant bibliographies by topics / Proteomics and metabolomics

Academic literature on the topic 'Proteomics and metabolomics'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Proteomics and metabolomics.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Proteomics and metabolomics"

1

Lambert, David G. "Proteomics and metabolomics." Anaesthesia & Intensive Care Medicine 11, no. 9 (September 2010): 372–73. http://dx.doi.org/10.1016/j.mpaic.2010.06.005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Lambert, David G. "Proteomics and metabolomics." Anaesthesia & Intensive Care Medicine 14, no. 4 (April 2013): 169–70. http://dx.doi.org/10.1016/j.mpaic.2013.02.007.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Stubbs, Keith A., and David J. Vocadlo. "Affinity-Based Proteomics Probes; Tools for Studying Carbohydrate-Processing Enzymes." Australian Journal of Chemistry 62, no. 6 (2009): 521. http://dx.doi.org/10.1071/ch09140.

Full text
Abstract:
As more information becomes available through the efforts of high-throughput screens, there is increasing pressure on the three main ‘omic’ fields, genomics, proteomics, and metabolomics, to organize this material into useful libraries that enable further understanding of biological systems. Proteomics especially is faced with two highly challenging tasks. The first is assigning the activity of thousands of putative proteins, the existence of which has been suggested by genomics studies. The second is to serve as a link between genomics and metabolomics by demonstrating which enzymes play roles in specific metabolic pathways. Underscoring these challenges in one area are the thousands of putative carbohydrate-processing enzymes that have been bioinformatically identified, mostly in prokaryotes, but that have unknown or unverified activities. Using two brief examples, we illustrate how biochemical pathways within bacteria that involve carbohydrate-processing enzymes present interesting potential antimicrobial targets, offering a clear motivation for gaining a functional understanding of biological proteomes. One method for studying proteomes that has been developed recently is to use synthetic compounds termed activity-based proteomics probes. Activity-based proteomic profiling using such probes facilitates rapid identification of enzyme activities within proteomes and assignment of function to putative enzymes. Here we discuss the general design principles for these probes with particular reference to carbohydrate-processing enzymes and give an example of using such a probe for the profiling of a bacterial proteome.
APA, Harvard, Vancouver, ISO, and other styles
4

Wu, Xinghong, and Chongge You. "The biomarkers discovery of hyperuricemia and gout: proteomics and metabolomics." PeerJ 11 (January 6, 2022): e14554. http://dx.doi.org/10.7717/peerj.14554.

Full text
Abstract:
Background Hyperuricemia and gout are a group of disorders of purine metabolism. In recent years, the incidence of hyperuricemia and gout has been increasing, which is a severe threat to people’s health. Several studies on hyperuricemia and gout in proteomics and metabolomics have been conducted recently. Some literature has identified biomarkers that distinguish asymptomatic hyperuricemia from acute gout or remission of gout. We summarize the physiological processes in which these biomarkers may be involved and their role in disease progression. Methodology We used professional databases including PubMed, Web of Science to conduct the literature review. This review addresses the current landscape of hyperuricemia and gout biomarkers with a focus on proteomics and metabolomics. Results Proteomic methods are used to identify differentially expressed proteins to find specific biomarkers. These findings may be suggestive for the diagnosis and treatment of hyperuricemia and gout to explore the disease pathogenesis. The identified biomarkers may be mediators of the link between hyperuricemia, gout and kidney disease, metabolic syndrome, diabetes and hypertriglyceridemia. Metabolomics reveals the main influential pathways through small molecule metabolites, such as amino acid metabolism, lipid metabolism, or other characteristic metabolic pathways. These studies have contributed to the discovery of Chinese medicine. Some traditional Chinese medicine compounds can improve the metabolic disorders of the disease. Conclusions We suggest some possible relationships of potential biomarkers with inflammatory episodes, complement activation, and metabolic pathways. These biomarkers are able to distinguish between different stages of disease development. However, there are relatively few proteomic as well as metabolomic studies on hyperuricemia and gout, and some experiments are only primary screening tests, which need further in-depth study.
APA, Harvard, Vancouver, ISO, and other styles
5

Lin, Chuwei, Aneirin Alan Lott, Wei Zhu, Craig P. Dufresne, and Sixue Chen. "Mitogen-Activated Protein Kinase 4-Regulated Metabolic Networks." International Journal of Molecular Sciences 23, no. 2 (January 14, 2022): 880. http://dx.doi.org/10.3390/ijms23020880.

Full text
Abstract:
Mitogen-activated protein kinase 4 (MPK4) was first identified as a negative regulator of systemic acquired resistance. It is also an important kinase involved in many other biological processes in plants, including cytokinesis, reproduction, and photosynthesis. Arabidopsis thaliana mpk4 mutant is dwarf and sterile. Previous omics studies including genomics, transcriptomics, and proteomics have revealed new functions of MPK4 in different biological processes. However, due to challenges in metabolomics, no study has touched upon the metabolomic profiles of the mpk4 mutant. What metabolites and metabolic pathways are potentially regulated by MPK4 are not known. Metabolites are crucial components of plants, and they play important roles in plant growth and development, signaling, and defense. Here we used targeted and untargeted metabolomics to profile metabolites in the wild type and the mpk4 mutant. We found that in addition to the jasmonic acid and salicylic acid pathways, MPK4 is involved in polyamine synthesis and photosynthesis. In addition, we also conducted label-free proteomics of the two genotypes. The integration of metabolomics and proteomics data allows for an insight into the metabolomic networks that are potentially regulated by MPK4.
APA, Harvard, Vancouver, ISO, and other styles
6

Song, Tao, Ying Zhu, Peng Zhang, Minzhu Zhao, Dezhang Zhao, Shijia Ding, Shisheng Zhu, and Jianbo Li. "Integrated Proteomics and Metabolomic Analyses of Plasma Injury Biomarkers in a Serious Brain Trauma Model in Rats." International Journal of Molecular Sciences 20, no. 4 (February 20, 2019): 922. http://dx.doi.org/10.3390/ijms20040922.

Full text
Abstract:
Diffuse axonal injury (DAI) is a prevalent and serious brain injury with significant morbidity and disability. However, the underlying pathogenesis of DAI remains largely unclear, and there are still no objective laboratory-based tests available for clinicians to make an early diagnosis of DAI. An integrated analysis of metabolomic data and proteomic data may be useful to identify all of the molecular mechanisms of DAI and novel potential biomarkers. Therefore, we established a rat model of DAI, and applied an integrated UPLC-Q-TOF/MS-based metabolomics and isobaric tag for relative and absolute quantitation (iTRAQ)-based proteomic analysis to obtain unbiased profiling data. Differential analysis identified 34 metabolites and 43 proteins in rat plasma of the injury group. Two metabolites (acetone and 4-Hydroxybenzaldehyde) and two proteins (Alpha-1-antiproteinase and Alpha-1-acid glycoprotein) were identified as potential biomarkers for DAI, and all may play important roles in the pathogenesis of DAI. Our study demonstrated the feasibility of integrated metabolomics and proteomics method to uncover the underlying molecular mechanisms of DAI, and may help provide clinicians with some novel diagnostic biomarkers and therapeutic targets.
APA, Harvard, Vancouver, ISO, and other styles
7

Perkel, Jeffrey M. "Metabolomics, transcriptomics, proteomics, oh my!" Journal of Proteome Research 7, no. 3 (March 2008): 839. http://dx.doi.org/10.1021/pr083707+.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hoffman, Jessica M., Yang Lyu, Scott D. Pletcher, and Daniel E. L. Promislow. "Proteomics and metabolomics in ageing research: from biomarkers to systems biology." Essays in Biochemistry 61, no. 3 (July 11, 2017): 379–88. http://dx.doi.org/10.1042/ebc20160083.

Full text
Abstract:
Age is the single greatest risk factor for a wide range of diseases, and as the mean age of human populations grows steadily older, the impact of this risk factor grows as well. Laboratory studies on the basic biology of ageing have shed light on numerous genetic pathways that have strong effects on lifespan. However, we still do not know the degree to which the pathways that affect ageing in the lab also influence variation in rates of ageing and age-related disease in human populations. Similarly, despite considerable effort, we have yet to identify reliable and reproducible ‘biomarkers’, which are predictors of one’s biological as opposed to chronological age. One challenge lies in the enormous mechanistic distance between genotype and downstream ageing phenotypes. Here, we consider the power of studying ‘endophenotypes’ in the context of ageing. Endophenotypes are the various molecular domains that exist at intermediate levels of organization between the genotype and phenotype. We focus our attention specifically on proteins and metabolites. Proteomic and metabolomic profiling has the potential to help identify the underlying causal mechanisms that link genotype to phenotype. We present a brief review of proteomics and metabolomics in ageing research with a focus on the potential of a systems biology and network-centric perspective in geroscience. While network analyses to study ageing utilizing proteomics and metabolomics are in their infancy, they may be the powerful model needed to discover underlying biological processes that influence natural variation in ageing, age-related disease, and longevity.
APA, Harvard, Vancouver, ISO, and other styles
9

Govorov, Igor, Stanislav Sitkin, Tatyana Pervunina, Alexey Moskvin, Denis Baranenko, and Eduard Komlichenko. "Metabolomic Biomarkers in Gynecology: A Treasure Path or a False Path?" Current Medicinal Chemistry 27, no. 22 (June 30, 2020): 3611–22. http://dx.doi.org/10.2174/0929867326666190104124245.

Full text
Abstract:
Omic-technologies (genomics, transcriptomics, proteomics and metabolomics) have become more important in current medical science. Among them, it is metabolomics that most accurately reflects the minor changes in body functioning, as it focuses on metabolome – the group of the metabolism products, both intermediate and end. Therefore, metabolomics is actively engaged in fundamental and clinical studies and search for potential biomarkers. The biomarker could be used in diagnostics, management and stratification of the patients, as well as in prognosing the outcomes. The good example is gynecology, since many gynecological diseases lack effective biomarkers. In the current review, we aimed to summarize the results of the studies, devoted to the search of potential metabolomic biomarkers for the most common gynecological diseases.
APA, Harvard, Vancouver, ISO, and other styles
10

Yates, John R. "Rising Stars in Proteomics and Metabolomics." Journal of Proteome Research 20, no. 2 (January 14, 2021): 1105–6. http://dx.doi.org/10.1021/acs.jproteome.0c01026.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Proteomics and metabolomics"

1

Shiryaeva, Liudmila. "Proteomics and metabolomics in biological and medical applications." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-43520.

Full text
Abstract:
Biological processes in living organisms consist of a vast number of different molecular networks and interactions, which are complex and often hidden from our understanding. This work is focused on recovery of such details for two quite distant examples: acclimation to extreme freezing tolerance in Siberian spruce (Picea obovata) and detection of proteins associated with prostate cancer. The first biological system in the study, upon P. obovata, is interesting by this species ability to adapt and sustain extremely low temperatures, such as -60⁰C or below. Despite decades of investigations, the essential features and mechanisms of the amazing ability of this species still remains unclear. To enhance knowledge about extreme freezing tolerance, the metabolome and proteome of P. obovata’s needles were collected during the tree’s acclimation period, ranging from mid August to January, and have been analyzed. The second system within this study is the plasma proteome analysis of high risk prostate cancer (PCa) patients, with and without bone metastases. PCa is one of the most common cancers among Swedish men, which can abruptly develop into an aggressive, lethal disease. The diagnostic tools, including PSA-tests, are insufficient in predicting the disease’s aggressiveness and novel prognostic markers are urgently required. Both biological systems have been analyzed following similar steps: by two-dimensional difference gel electrophoresis (2D-DIGE) techniques, followed by protein identification using mass spectrometry (MS) analysis and multivariate methods. Data processing has been utilized for searching for proteins that serve as unique indicators for characterizing the status of the systems. In addition, the gas chromatography-mass spectrometry (GC-MS) study of the metabolic content of P.obovata’s needles, from the extended observation period, has been performed. The studies of both systems, combined with thorough statistical analysis of experimental outcomes, have resulted in novel insights and features for both P. obovata and prostate cancer. In particular, it has been shown that dehydrins, Hsp70s, AAA+ ATPases, lipocalin and several proteins involved in cellular metabolism etc., can be uniquely associated with acclimation to extreme freezing in conifers. Metabolomic analysis of P. obovata needles has revealed systematic metabolic changes in carbohydrate and lipid metabolism. Substantial increase of raffinose, accumulation of desaturated fatty acids, sugar acids, sugar alcohols, amino acids and polyamines that may act as compatible solutes or cryoprotectants have all been observed during the acclimation process. Relevant proteins for prostate cancer progression and aggressiveness have been identified in the plasma proteome study, for patients with and without bone metastasis. Proteins associated with lipid transport, coagulation, inflammation and immune response have been found among them.
APA, Harvard, Vancouver, ISO, and other styles
2

Salji, Mark J. "Quantitative proteomics and metabolomics of castration resistant prostate cancer." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/30941/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Henneges, Carsten [Verfasser]. "Feature Selection and Data Mining for Proteomics and Metabolomics / Carsten Henneges." München : Verlag Dr. Hut, 2011. http://d-nb.info/1017353573/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Mörén, Lina. "Metabolomics and proteomics studies of brain tumors : a chemometric bioinformatics approach." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-111309.

Full text
Abstract:
The WHO classification of brain tumors is based on histological features and the aggressiveness of the tumor is classified from grade I to IV, where grade IV is the most aggressive. Today, the correlation between prognosis and tumor grade is the most important component in tumor classification. High grade gliomas, glioblastomas, are associated with poor prognosis and a median survival of 14 months including all available treatments. Low grade meningiomas, usually benign grade I tumors, are in most cases cured by surgical resection. However despite their benign appearance grade I meningiomas can, without any histopathological signs, in some cases develop bone invasive growth and become lethal. Thus, it is necessary to improve conventional treatment modalities, develop new treatment strategies and improve the knowledge regarding the basic pathophysiology in the classification and treatment of brain tumors. In this thesis, both proteomics and metabolomics have been applied in the search for biomarkers or biomarker patterns in two different types of brain tumors, gliomas and meningiomas. Proteomic studies were carried out mainly by surface enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS). In one of the studies, isobaric tags for relative and absolute quantitation (iTRAQ) labeling in combination with high-performance liquid chromatography (HPLC) was used for protein detection and identification. For metabolomics, gas-chromatography time-of-flight mass spectrometry (GC-TOF-MS) has been the main platform used throughout this work for generation of robust global metabolite profiles in tissue, blood and cell cultures. To deal with the complexity of the generated data, and to be able to extract relevant biomarker patters or latent biomarkers, for interpretation, prediction and prognosis, bioinformatic strategies based on chemometrics were applied throughout the studies of the thesis. In summary, we detected differentiating protein profiles between invasive and non-invasive meningiomas, in both fibrous and meningothelial tumors. Furthermore, in a different study we discovered treatment induce protein pattern changes in a rat glioma model treated with an angiogenesis inhibitor. We identified a cluster of proteins linked to angiogenesis. One of those proteins, HSP90, was found elevated in relation to treatment in tumors, following ELISA validation. An interesting observation in a separate study was that it was possible to detect metabolite pattern changes in the serum metabolome, as an effect of treatment with radiotherapy, and that these pattern changes differed between different patients, highlighting a possibility for monitoring individual treatment response.  In the fourth study of this work, we investigated tissue and serum from glioma patients that revealed differences in the metabolome between glioblastoma and oligodendroglioma, as well as between oligodendroglioma grade II and grade III. In addition, we discovered metabolite patterns associated to survival in both glioblastoma and oligodendroglioma. In our final work, we identified metabolite pattern differences between cell lines from a subgroup of glioblastomas lacking argininosuccinate synthetase (ASS1) expression, (ASS1 negative glioblastomas), making them auxotrophic for arginine, a metabolite required for tumor growth and proliferation, as compared to glioblastomas with normal ASS1 expression (ASS1 positive). From the identified metabolite pattern differences we could verify the hypothesized alterations in the arginine biosynthetic pathway. We also identified additional interesting metabolites that may provide clues for future diagnostics and treatments. Finally, we were able to verify the specific treatment effect of ASS1 negative cells by means of arginine deprivation on a metabolic level.
APA, Harvard, Vancouver, ISO, and other styles
5

Thomas, Funmilola Clara. "Acute phase proteins, proteomics and metabolomics in the diagnosis of bovine mastitis." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6360/.

Full text
Abstract:
Bovine mastitis continues to pose a major economic challenge to the dairy industry worldwide. Critical to the management and control of this condition, is the need for prompt and accurate diagnosis in field conditions, therefore a search for more sensitive and reliable biomarkers is required. In this thesis, studies focused on assessing milk samples from cows with various forms of mastitis were undertaken with a view to identifying new biomarkers for bovine mastitis. Three acute phase proteins (APP); haptoglobin (Hp), mammary associated serum amyloid A3 (M-SAA3) and C-reactive protein (CRP) were measured in milk samples from composite milk samples of all lactating cows in a commercial dairy herd, mastitis cases, submitted to a diagnostic laboratory and following an experimental mastitis challenge of cows with Streptococcus uberis. A new enzyme linked immunosorbent assay (ELISA) was developed for measuring Hp, while commercial ELISA assay kits were used to assay M-SAA3 and CRP. Other mastitis related parameters evaluated in the samples included the somatic cell counts (SCC) and the presence of pathogens. A reliable and sensitive ELISA was developed and optimized for measuring milk Hp. A cut off value for Hp of 7.9 μg/ml was established for milk with SCC less than 200,000 cells/ml. Pathogen-specific variations were observed in the concentration of each APP in mastitic milk. It was observed that the environmental pathogens showed higher concentrations of APP compared to other pathogens, from the study of mastitis milk samples submitted to the diagnostic laboratory. Also, it was possible to distinguish between samples from subclinical and clinical mastitis and between samples from subclinical and healthy udders using each of the APP (P<0.05). Haptoglobin, M-SAA3 and CRP showed corresponding variation with stage of infection during the course of experimental mastitis, and specifically CRP was observed to rise earlier than other two APP. Furthermore, characterization of the profile of these APP in the immediate post-calving milk samples was carried out to determine how valuable they would be in recognizing new mastitis infections arising at the post-partum period. It was observed that there is a general moderately-high level of APP in milk immediately following parturition which drops a few days later in healthy milk. The immunohistochemical localization of Hp in the bovine mammary gland was also assessed. It could be concluded from that study that neutrophils and the mammary epithelial cells secrete Hp into milk during mastitis. Gel and non-gel based proteomics approaches were employed to study the protein profiles and variation in mastitic milk from normal samples. Several proteins were identified that confirmed previous findings and project new mastitis markers, for example, serotransferrin, serpins, alpha-macroglobulin and neutrophil gelatinase associated lipocalins. A capillary electrophoresis mass spectrometry system (CE-MS) was also employed to elucidate the changing peptidome in milk during the course of an experimental mastitis, which lead to the generation of a panel of 77 polypeptides, which were able to significantly differentiate critical stages of mastitis. Three of these polypeptides were found in mastitic milk samples from previous peptidomic analyses thereby indicating strong biomarker value. Finally, a liquid chromatography mass spectrometry based metabolomics approach was used to study the changing profile of small metabolites in milk during the course of an experimental infection. Several pathway-based changes that highlighted metabolites of potential significance in mastitis diagnosis were recognized including lactose synthesis, nitrogen containing compounds such as betaine, L-carnitine and lipid metabolites pathways namely sn-glycerophosphocholine and choline among others. Overall, this study has shown the value of APP, milk proteomics and metabolomics in bovine mastitis diagnosis; the changing proteins and metabolites or their patterns need to be further experimentally and clinically validated as specific and sensitive markers of mastitis. Ultimately, the applicability of APP, proteins, peptides and metabolites and/or their changing patterns as mastitis biomarkers would require their adaptation to rapid (on farm) and robust measurement formats.
APA, Harvard, Vancouver, ISO, and other styles
6

Wibom, Carl. "Multivariate analyses of proteomic and metabolomic patterns in brain tumors." Doctoral thesis, Umeå universitet, Onkologi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-25670.

Full text
Abstract:
Glioblastoma multiforme (GBM) is the most common primary brain tumor. Given the current standard of care, the prognosis for patients diagnosed with this disease is still poor. There consequently exists a need to improve current treatments, as well as to develop new ones. Many obstacles however need to be overcome to facilitate this effort and one of these involves the development of improved methods to monitor treatment effects. At present, the effects of treatment are typically assessed by radiological means several months after its initiation, which is unsatisfactory for a fast growing tumor like GBM. It is however likely that treatment effects can be detected on a molecular level long before radiological response, especially considering many of the targeted therapies that are currently being developed. Biomarkers for treatment efficacy may be of great importance in the future individualization of brain tumor treatment. The work presented herein was primarily focused on detecting early effects of GBM treatment. To this end, we designed experiments in the BT4C rat glioma model in which we studied effects of both conventional radiotherapy and an experimental angiogenesis inhibitor, vandetanib. Brain tissue samples were analyzed using a high throughput mass spectrometry (MS) based screening, known as Surface Enhanced Laser Desorption/Ionization - Time of Flight - Mass Spectrometry (SELDI-TOF-MS). The vast amounts of data generated were subsequently analyzed by established multivariate statistical methods, such as Principal Component Analysis (PCA), Partial Least Squares (PLS), and Orthogonal Partial Least Squares (OPLS), developed for analysis of large and complex datasets. In the radiotherapy study we detected a protein spectrum pattern clearly related to tumor progression. We notably observed how this progression pattern was hampered by radiotherapy. The vandetanib study also revealed significant alterations of protein expression following treatment of different durations, both in tumor tissue and in normal brain contralateral to the tumor. In an effort to further elucidate the pathophysiology of GBM, particularly in relation to treatment, we collected extracellular fluid (ECF) samples from 11 patients diagnosed with inoperable GBM. The samples were collected by means of stereotactic microdialysis, both from within the contrast enhancing tumor and the brain adjacent to tumor (BAT). Samples were collected longitudinally from each patient in a time span of up to two weeks, during which the patient received the first five fractions of radiotherapy. The ECF samples were then analyzed by Gas Chromatography Mass Spectrometry (GC-MS) to screen them with respect to concentrations of low molecular weight compounds (metabolites). Suitable multivariate analysis strategies enabled us to extract patterns of varying metabolite concentrations distinguishing between samples collected at different locations in the brain as well as between samples collected at different time points in relation to treatment. In a separate study, we also applied SELDI-TOF-MS and multivariate statistical methods to unravel possible differences in protein spectra between invasive and non-invasive WHO grade I meningiomas. This type of tumor can usually be cured by surgical resection however sometimes it grows invasively into the bone, ultimately causing clinical problems. This study revealed the possibility to differentiate between invasive and non-invasive benign meningioma based on the expression pattern of a few proteins. Our approach, which includes sample analysis and data handling, is applicable to a wide range of screening studies. In this work we demonstrated that the combination of MS screening and multivariate analyses is a powerful tool in the search for patterns related to treatment effects and diagnostics in brain tumors.
APA, Harvard, Vancouver, ISO, and other styles
7

Hollywood, Katherine. "The development of bio-analytical techniques for the treatment of psoriasis and related skin disorders." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/the-development-of-bioanalytical-techniques-for-the-treatment-of-psoriasis-and-related-skin-disorders(eadbfad8-6ab0-4029-b618-a1a6d715c3af).html.

Full text
Abstract:
In this investigation a number of post-genomic technologies have be applied to study the dermatological disorders of psoriasis and keloid disease. In spite of considerable research focus on these diseases the pathogenesis remains unclear and currently no cure is available however, both diseases are manageable by drug intervention. It is common place that patients who are suffering from skin disorders are diagnosed and the extent of the disease assessed by a dermatologist which may be subjective due to human error. The availability and application of methods to screen patients and quantify the level of disease or response to treatment has obvious benefits in disease management. The work has incorporated a two-pronged approach combining the spectroscopic analysis of excised tissue samples and the phenotypic profiling of a rapidly proliferating cell line in response to drug intervention. The initial analysis of psoriatic skin samples by MALDI-MS provided poor results which remain relatively unexplained; however similar problems have been observed by other research groups. In a complementary approach the HaCaT cell line was exposed to increasing concentrations of three anti-psoriatic drugs namely dithranol, methotrexate and ciclosporin and the cells profiled using both metabolomic and proteomic methods. A number of metabolic pathways were highlighted including glycolysis and the TCA cycle. This has resulted in a selection of potential biomarkers which could be investigated in further work. In a small follow on study a collection of plasma samples from patients undergoing methotrexate treatment were analysed. The level of patient metadata and the number of samples was relatively limiting however, a subset of metabolites were significantly altered between responders and non-responders and with further validation could be potential biomarkers of successful treatment. The analysis of excised keloid samples was conducted using FT-IR microspectroscopy where it was possible to successfully discriminate between keloid and normal tissue. The use of imaging FTIR illustrated the complex cellular composition within a keloid scar, with increased lipid, amide and phosphate levels being observed. These measurable variations could, in the future, be incorporated into surgical procedures to allow targeted excision ensuring all keloid areas are removed. Finally a SERS-based analysis was conducted to investigate the possibility of probing dynamic enzymatic processes. This was successful and with the use of varying reporter molecules could be a beneficial tool for the analysis of metabolic processes.This project has successfully used a number of bio-analytical techniques to investigate dermatological problems. While the ultimate goal would be the application of a single analytical technique to provide answers to biological questions, it has been found that a number of complimentary techniques and statistical data handling approaches can provide a valuable insight into the problems posed.
APA, Harvard, Vancouver, ISO, and other styles
8

Pervukhin, Anton. "Molecular formula identification using high resolution mass spectrometry algorithms and applications in metabolomics and proteomics /." kostenfrei, 2009. http://d-nb.info/1001408578/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Mußotter, Franz [Verfasser]. "Application of proteomics and metabolomics in molecular investigations of sensitization to contact allergens / Franz Mußotter." Berlin : Freie Universität Berlin, 2018. http://d-nb.info/1159900582/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hadrévi, Jenny. "Applying proteomics and metabolomics for studying human skeletal muscle with a focus on chronic trapezius myalgia." Doctoral thesis, Umeå universitet, Institutionen för integrativ medicinsk biologi (IMB), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-61399.

Full text
Abstract:
Work related musculoskeletal disorders are the dominating causes of reported ill-health in industrialized countries. These chronic pain conditions are one of the most costly public health problems in Europe and North America. When work related musculoskeletal disorders are considered to be of muscular origin and the trapezius muscle is affected, the common appellation is trapezius myalgia. Since little is known about the genesis or how it is maintained, it is of great importance to better understand the pathophysiology of trapezius myalgia; doing so will better enable recommendations for prevention, treatment and rehabilitation. Several hypotheses have been presented based on biochemical alterations in the muscle, suggesting increased signaling of inflammatory substances and altered metabolism. Previous research has not been able to present the comprehensive picture of the muscle in pain. Thus there is a demand for more comprehensive research regarding the biochemical milleu of the chronic trapezius muscle. Proteomic and metabolomic methods allow non-targeted simultaneous analyses of a large number of proteins and metabolites. The main emphasis in this thesis is on a proteomic method, two-dimensional differential gel electrophoresis (2D-DIGE). The method is validated to human skeletal muscle biopsy research with laboratory specific settings. In the baseline study, there were 14 metabolic, contractile, structural and regulatory proteins that differed significantly in abundance when trapezius and vastus lateralis muscles were compared. Using the validated 2D-DIGE method and the baseline study, a comparison between healthy and myalgic muscles was made. Biopsies from female cleaners with and without myalgia were compared to obtain results from women with the same type of work exposure. In the multivariate model, 28 identified unique proteins separated healthy and myalgic muscle and were grouped according to function: metabolic (n=10), contractile (n=9), regulatory (n=3), structural (n=4), and other (n=2). Finally, a second screening method, metabolomics, was introduced to analyze differences in metabolite content as a complement to and verification of the proteomic results. Gas chromatography-mass spectrometry (GC-MS) was performed on muscle interstitial fluid samples obtained with microdialysis, and differences in the abundance of extracellular metabolites were revealed.  The 2D-DIGE method is a reliable method to analyze human skeletal muscle. The outcomes of the proteomic analyses were dependant on the statistical approach. Systematic differences in protein and metabolite content were detected using a multivariate approach. Univariate analyses were used to analyze individual proteins for their significance. The significant proteins in the baseline study were predominately related to muscle fiber type which correlated with the differences in fiber type content between trapezius and vastus lateralis. The proteomic and metabolomics studies where myalgic and healthy muscles were compared provide us with new clues and new aspects regarding the pathophysiology of the myalgic muscle. Technically advanced methods employed in the thesis enabled an explorative screening of proteins of relevance for the pathophysiology of the myalgic muscle. The results of these analyses may contribute to the formulation of future hypothesis that need to be further evaluated.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Proteomics and metabolomics"

1

Arjmand, Babak, ed. Genomics, Proteomics, and Metabolomics. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Martins-de-Souza, Daniel. Proteomics and metabolomics in psychiatry. Basel: Karger, 2014.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Winkler, Robert, ed. Processing Metabolomics and Proteomics Data with Open Software. Cambridge: Royal Society of Chemistry, 2020. http://dx.doi.org/10.1039/9781788019880.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Bagchi, Debasis. Genomics, proteomics, and metabolomics in nutraceuticals and functional foods. Ames, Iowa: Wiley-Blackwell, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Bagchi, Debasis, Anand Swaroop, and Manashi Bagchi. Genomics, proteomics and metabolomics in nutraceuticals and functional foods. Chichester, West Sussex: John Wiley & Sons, Inc., 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Debasis, Bagchi, Lau Francis, and Bagchi Manashi, eds. Genomics, proteomics, and metabolomics in nutraceuticals and functional foods. Ames, Iowa: Wiley-Blackwell, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Bagchi, Debasis, Francis C. Lau, and Manashi Bagchi, eds. Genomics, Proteomics, and Metabolomics in Nutraceuticals and Functional Foods. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9780813821474.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bagchi, Debasis, Anand Swaroop, and Manashi Bagchi, eds. Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118930458.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Datta, Susmita, and Bart J. A. Mertens, eds. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45809-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Sensen, C. W. Handbook of genome research: Genomics, proteomics, metabolomics, bioinformatics, ethical, and legal issues. Weinheim: Wiley-VCH, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Proteomics and metabolomics"

1

Selvam, Manesh Kumar Panner, Damayanthi Durairajanayagam, and Ashok Agarwal. "Proteomics and Metabolomics." In In Vitro Fertilization, 535–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-43011-9_43.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Neale, David B., and Nicholas C. Wheeler. "Proteomics and Metabolomics." In The Conifers: Genomes, Variation and Evolution, 119–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-46807-5_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Semba, Richard D., and Marta Gonzalez-Freire. "Metabolomics and Proteomics." In The Biology of the First 1,000 Days, 473–84. Boca Raton : Taylor & Francis, 2018. | Series: Oxidative stress and disease; 42: CRC Press, 2017. http://dx.doi.org/10.1201/9781315152950-30.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Heidari-Keshel, Saeed, Mostafa Rezaei-Tavirani, Azam Rahimi, Farshid Sefat, and Arash Khojasteh. "Proteomics Approaches Applied to Regenerative Medicine: Perspectives in Stem Cell Proteomics." In Genomics, Proteomics, and Metabolomics, 107–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Wienkoop, Stefanie, and Christiana Staudinger. "Mass Spectrometry, Proteomics, and Metabolomics." In Encyclopedia of Systems Biology, 1179–80. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1152.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Khatami, Fatemeh, Seyed Mohammad Tavangar, and Navaz Karimian Pour. "Genomics, Proteomics, and Metabolomics of Cancer Stem Cells (CSCs)." In Genomics, Proteomics, and Metabolomics, 159–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Falahzadeh, Khadijeh, Masumeh Jalalvand, Sepideh Alavi-Moghadam, Nikoo Bana, and Babak Negahdari. "Trying to Reveal the Mysteries of Stem Cells Using “Omics” Strategies." In Genomics, Proteomics, and Metabolomics, 1–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Afshar, Leila. "From OMICs to Ethics: Points to Start the Debate." In Genomics, Proteomics, and Metabolomics, 181–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Heidari-Keshel, Saeed, Azam Rahimi, Mostafa Rezaei-Tavirani, Farshid Sefat, and Arash Khojasteh. "Genomics, Proteomics, and Metabolomics for Stem Cells Monitoring in Regenerative Medicine." In Genomics, Proteomics, and Metabolomics, 51–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Gilany, Kambiz, Mohammad Javad Masroor, Arash Minai-Tehrani, Ahmad Mani-Varnosfaderani, and Babak Arjmand. "Metabolic Profiling of the Mesenchymal Stem Cells’ Secretome." In Genomics, Proteomics, and Metabolomics, 67–81. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Proteomics and metabolomics"

1

MacKay, Scott, and Jie Chen. "Biosensor systems and applications in genomics, proteomics and metabolomics: A review." In 2014 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2014. http://dx.doi.org/10.1109/iscas.2014.6865104.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Barsch, Aiko, Frederik Walter, Marcus Persicke, Stephanie Kaspar-Schoenefeld, Heiko Neuweger, Nikolas Kessler, and Jörn Kalinowski. "Increasing arginine production in Corynebacterium glutamicum by rational strain design in combination with metabolomics and proteomics." In The 1st International Electronic Conference on Metabolomics. Basel, Switzerland: MDPI, 2016. http://dx.doi.org/10.3390/iecm-1-b001.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Rennefahrt, Ulrike, Hellmuth-A. Meyer, Beate Kamlage, Regina Reszka, Philipp Schatz, Carsten Stephan, Klaus Jung, Dimo Dietrich, and Glen Kristiansen. "Abstract 1415: Prostate cancer: An integrated evaluation of metabolomics, transcriptomics, and proteomics expression data." In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-1415.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Phelix, Clyde F., and Jason L. Dugan. "Integrating information on genomics, transcriptomics, proteomics, and metabolomics into biosimulations for individualized personalized medicine." In 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2016. http://dx.doi.org/10.1109/bhi.2016.7455897.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Heath, James R. "Abstract IA07: Single cell functional proteomics and metabolomics: A conduit to physicochemical models of tumor biology." In Abstracts: AACR Special Conference: Engineering and Physical Sciences in Oncology; June 25-28, 2016; Boston, MA. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.epso16-ia07.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kiiskila, Jeffrey D., Dibyendu Sarkar, Dibyendu Sarkar, Rupali Datta, and Rupali Datta. "DIFFERENTIAL PROTEOMICS AND METABOLOMICS OF SHOOTS OF VETIVER GRASS (CHRYSOPOGON ZIZANIOIDES) USED TO TREAT ACID MINE DRAINAGE." In GSA 2020 Connects Online. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020am-358217.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Evers, Bernardus, Albert Gerding, Jiske Tiersma, Karen van Eunen, Justina C. Wolters, Dirk-Jan Reijngoud, Mathilde Jalving, and Barbara M. Bakker. "Abstract PO-039: Combined in vivo13C-metabolomics and proteomics approach to optimise immunotherapy response in malignant melanoma." In Abstracts: AACR Special Virtual Conference on Epigenetics and Metabolism; October 15-16, 2020. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.epimetab20-po-039.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Stewart, Paul A., Jiannong Li, Kate J. Fisher, Suraj Dhungana, Delisha Stewart, Susan Sumner, Eric Gardner, et al. "Abstract 3752: Integrating proteomics and metabolomics characterizes active pathways and potential drug targets in small cell lung cancer." In Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-3752.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

WEBB-ROBERTSON, BOBBIE-JO M., LEE ANN MCCUE, NATHANIAL BEAGLEY, JASON E. MCDERMOTT, DAVID S. WUNSCHEL, SUSAN M. VARNUM, JIAN ZHI HU, et al. "A BAYESIAN INTEGRATION MODEL OF HIGH-THROUGHPUT PROTEOMICS AND METABOLOMICS DATA FOR IMPROVED EARLY DETECTION OF MICROBIAL INFECTIONS." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812836939_0042.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Singh, Shivendra V., Eun-Ryeong Hahm, Joomin Lee, Su-Hyeong Kim, Anuradha Sehrawat, and Julie A. Arlotti. "Abstract 3714: Metabolomics and proteomics reveal inhibition of glycolysis in withaferin A-mediated prevention of mammary carcinogenesis in MMTV-neu mice." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-3714.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Proteomics and metabolomics"

1

Rabinowitz, Joshua D. Final Technical Report--Quantitative analysis of metabolic regulation by integration of metabolomics, proteomics, and fluxomics. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1487155.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Proteomics and metabolomics' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography