Nutritional Transcriptomics

Noori–Daloii, Mohammad Reza; Nejatizadeh, Azim

doi:10.1002/9781118930458.ch43

Cited by 4 publications

(4 citation statements)

References 54 publications

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“…The interaction of PP with the gut micro biota influences the expression of some human genes (i.e., nutritional transcriptomics), which mediates mechanisms underlying their beneficial effects [30]. Similar in vivo mucosal transcriptome findings have been reported when adults were given the Probiotic L. plantarum, illustrating how probiotics modulate human cellular pathways, and show remarkable similarity to responses obtained for certain bioactive molecules and drugs [31].…”

Section: Disease Modulation By Nutrientsmentioning

confidence: 57%

MicroRNAs' Gene Expression Technology for the Evaluation of Disease Modulation by Mild Nutrients

Ahmed¹,

Gouda²,

Hussein³

et al. 2018

JARB

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Section: Disease Modulation By Nutrientsmentioning

confidence: 57%

MicroRNAs' Gene Expression Technology for the Evaluation of Disease Modulation by Mild Nutrients

Ahmed¹,

Gouda²,

Hussein³

et al. 2018

JARB

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“…This is a post-print of: Álvarez-Rivera, Gerardo; experiments requires thorough data processing to extract biologically meaningful information 18 . In most transcriptomics analysis, the tool of choice up to now is the microarray, and Affymetrix platforms are the most preferred.…”

Section: X21 Omics Approaches In Foodomicsmentioning

confidence: 99%

Chapter 1. Foodomics – Fundamentals, State of the Art and Future Trends

Álvarez‐Rivera¹,

Valdés²,

León³

et al. 2021

Food Chemistry, Function and Analysis

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Foodomics is being consolidated in Food Science through the application and integration of a variety of omics tools (e.g., genomics/trascriptomics, proteomics, metabolomics) together with chemometrics and bioinformatics. Foodomics can greatly improve our understanding of the complex fooddietindividual interplay, involving different Food Science and Nutrition research areas dealing with food composition, food safety, quality and traceability issues, as well as the food impact on individual's health/illness status. Readers of the present chapter will get an overview of the fundamentals, the most recent advances and future perspectives in the different areas of Foodomics.

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“…Zhang et al have conducted a comparative analysis of the region-specific expression patterns in different beef cuts, and suggested that these analyses could be used to aid the selection of health-beneficial meat in beef [11]. A similar approach has also been used in analyzing the nutritional value of various livestocks [12,13]. These studies have shown that transcriptomic analysis is a viable method for analyzing nutraceutical values of animal-derived proteins.…”

Section: Introductionmentioning

confidence: 99%

Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods

Guan¹,

Tan²,

Li³

et al. 2024

Food Science and Human Wellness

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Andrias davidianus (Chinese giant salamander, CGS) is the largest and oldest extant amphibian species in the world and is a source of prospective functional food in China. However, the progress of functional peptides mining was slow due to lack of reference genome and protein sequence data. In this study, we illustrated full-length transcriptome sequencing to interpret the proteome of CGS meat and obtain 10,703 coding DNA sequences. By functional annotation and amino acid composition analysis, we have discovered various genes related to signal transduction, and 16 genes related to longevity. We have also found vast variety of functional peptides through protein coding sequence (CDS) analysis by comparing the data obtained with the functional peptide database. Val-Pro-Ile predicted by the CDS analysis was released from the CGS meat through enzymatic hydrolysis, suggesting that our approach is reliable. This study suggested that transcriptomic analysis can be used as a reference to guide polypeptide mining in CGS meat, thereby providing a powerful mining strategy for the bioresources with unknown genomic and proteomic sequences.

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Nutritional Transcriptomics

Cited by 4 publications

References 54 publications

MicroRNAs' Gene Expression Technology for the Evaluation of Disease Modulation by Mild Nutrients

MicroRNAs' Gene Expression Technology for the Evaluation of Disease Modulation by Mild Nutrients

Chapter 1. Foodomics – Fundamentals, State of the Art and Future Trends

Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods

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