Making the Case for Functional Proteomics

Perkins, Ray C.

doi:10.1007/978-1-4939-8814-3_1

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…Yet, in our study, both sexes had their development significantly delayed when feeding on a protein-rich diet, which is a common response when crickets are subjected to dietary stress [87,88]. Although protein plays essential roles in organism physiology [89,90], previous studies have shown that excess dietary protein can be toxic [91,92]. Albeit diet composition did not affect immature cricket mortality, A. domesticus may have delayed their development as a compensatory mechanism for excess protein as both sexes, surprisingly, had similar relative body protein content across experimental conditions.…”

Section: Discussionmentioning

confidence: 90%

Diet composition and social environment determine food consumption, phenotype and fecundity in an omnivorous insect

et al. 2020

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Nutrition is the single most important factor for individual's growth and reproduction. Consequently, the inability to reach the nutritional optimum imposes severe consequences for animal fitness. Yet, under natural conditions, organisms may face a mixture of stressors that can modulate the effects of nutritional asymmetry. For instance, stressful environments caused by intense interaction with conspecifics. Here, we subjected the house cricket Acheta domesticus to (i) either of two types of diet that have proved to affect cricket performance and (ii) simultaneously manipulated their social environment throughout their complete life cycle. We aimed to track sex-specific consequences for multiple traits during insect development throughout all life stages. Both factors affected critical life-history traits with potential population-level consequences: diet composition induced strong effects on insect development time, lifespan and fitness, while the social environment affected the number of nymphs that completed development, food consumption and whole-body lipid content. Additionally, both factors interactively determined female body mass. Our results highlight that insects may acquire and invest resources in a different manner when subjected to an intense interaction with conspecifics or when isolated. Furthermore, while only diet composition affected individual reproductive output, the social environment would determine the number of reproductive females, thus indirectly influencing population performance.

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Section: Discussionmentioning

confidence: 90%

Diet composition and social environment determine food consumption, phenotype and fecundity in an omnivorous insect

et al. 2020

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“…The main techniques used for the large-scale analysis of comparative data are 2-DE and MS [28,51]. MS acquires the spectral data of peptides (from digested proteins), and bioinformatics tools are then necessary to identify the peptides and corresponding consensus proteins, such as MASCOT, Protein Pilot, Skyline, and DAVID Bioinformatics Resources, among Globally, proteomics can characterize the function and location of proteins and is broadly divided into three categories: (1) Functional Proteomics, which refers to various proteomic approaches that allow the study and characterization of protein signaling, the mechanisms of protein-related disease, and protein-drug interactions [46]. (2) Structural Proteomics is the study of the subcellular location of proteins and protein-protein interactions through the purification of organelles or complexes and the subsequent identification of their components by MS [47].…”

Section: Introductionmentioning

confidence: 99%

Understanding Cervical Cancer through Proteomics

Martínez-Rodríguez

Limones-González

Mendoza-Almanza

et al. 2021

Cells

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Cancer is one of the leading public health issues worldwide, and the number of cancer patients increases every day. Particularly, cervical cancer (CC) is still the second leading cause of cancer death in women from developing countries. Thus, it is essential to deepen our knowledge about the molecular pathogenesis of CC and propose new therapeutic targets and new methods to diagnose this disease in its early stages. Differential expression analysis using high-throughput techniques applied to biological samples allows determining the physiological state of normal cells and the changes produced by cancer development. The cluster of differential molecular profiles in the genome, the transcriptome, or the proteome is analyzed in the disease, and it is called the molecular signature of cancer. Proteomic analysis of biological samples of patients with different grades of cervical intraepithelial neoplasia (CIN) and CC has served to elucidate the pathways involved in the development and progression of cancer and identify cervical proteins associated with CC. However, several cervical carcinogenesis mechanisms are still unclear. Detecting pathologies in their earliest stages can significantly improve a patient’s survival rate, prognosis, and recurrence. The present review is an update on the proteomic study of CC.

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The role of proteomics in the modern diagnosis of cervical cancer

Hamadyanova

Sultanmuratova

Disbiyanova

et al. 2022

Journal of obstetrics and women's diseases

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Cervical cancer is a leading global health problem and the second most common form of cancer in women living in developing countries. Despite the available methods of diagnosis and treatment, cervical cancer is still the cause of a large number of deaths among vulnerable groups of the female population, which makes further research relevant. The aim of this study was to summarize new technological developments and scientific information about proteomics, which will allow for deepening the understanding of the pathogenesis of cervical cancer and developing new methods of diagnosis and treatment of this pathology. Recent achievements in the field of analytical research methods and bioinformatics provide a wide range of alternatives in the field of proteomic research. To date, proteomic analysis can be performed on almost any biological sample (tumor tissue, blood, urine, saliva, vaginal secretions). Each type of biological sample represents a potential source of diagnostic and prognostic biomarkers, as well as potential targets for therapy. The main limitation of proteomic studies aimed at finding potential biomarkers of the disease is the high variability of the results depending on the specific laboratory. There is variability in concentrations and even in the type of biomarker identified, even though research teams are working with the same samples.

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Making the Case for Functional Proteomics

Cited by 4 publications

References 34 publications

Diet composition and social environment determine food consumption, phenotype and fecundity in an omnivorous insect

Diet composition and social environment determine food consumption, phenotype and fecundity in an omnivorous insect

Understanding Cervical Cancer through Proteomics

The role of proteomics in the modern diagnosis of cervical cancer

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