These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 35214876)

  • 1. A Comparative Metabolomic Analysis Reveals the Nutritional and Therapeutic Potential of Grains of the Traditional Rice Variety Mappillai Samba.
    Rajagopalan VR; Manickam S; Muthurajan R
    Plants (Basel); 2022 Feb; 11(4):. PubMed ID: 35214876
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Metabolomic analysis for disclosing nutritional and therapeutic prospective of traditional rice cultivars of Cauvery deltaic region, India.
    Udhaya Nandhini D; Venkatesan S; Senthilraja K; Janaki P; Prabha B; Sangamithra S; Vaishnavi SJ; Meena S; Balakrishnan N; Raveendran M; Geethalakshmi V; Somasundaram E
    Front Nutr; 2023; 10():1254624. PubMed ID: 37841397
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Large-Scale Non-Targeted Metabolomics Reveals Antioxidant, Nutraceutical and Therapeutic Potentials of Sorghum.
    Ramalingam AP; Mohanavel W; Premnath A; Muthurajan R; Prasad PVV; Perumal R
    Antioxidants (Basel); 2021 Sep; 10(10):. PubMed ID: 34679645
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Unravelling the metabolomic diversity of pigmented and non-pigmented traditional rice from Tamil Nadu, India.
    Subramanian V; Dhandayuthapani UN; Kandasamy S; Sivaprakasam JV; Balasubramaniam P; Shanmugam MK; Nagappan S; Elangovan S; Subramani UK; Palaniyappan K; Vellingiri G; Muthurajan R
    BMC Plant Biol; 2024 May; 24(1):402. PubMed ID: 38745317
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparative Profiling of Volatile Compounds in Popular South Indian Traditional and Modern Rice Varieties by Gas Chromatography-Mass Spectrometry Analysis.
    Ashokkumar K; Govindaraj M; Vellaikumar S; Shobhana VG; Karthikeyan A; Akilan M; Sathishkumar J
    Front Nutr; 2020; 7():599119. PubMed ID: 33363195
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Metabolic profile analysis and identification of key metabolites during rice seed germination under low-temperature stress.
    Yang M; Yang J; Su L; Sun K; Li D; Liu Y; Wang H; Chen Z; Guo T
    Plant Sci; 2019 Dec; 289():110282. PubMed ID: 31623771
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparative RNA-Seq analysis unravels molecular mechanisms regulating therapeutic properties in the grains of traditional rice Kavuni.
    Ramanathan V; Kambale R; Palaniswamy R; Rahman H; Muthurajan R
    Plant Sci; 2022 Nov; 324():111411. PubMed ID: 35952828
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from
    Yang Z; Nakabayashi R; Okazaki Y; Mori T; Takamatsu S; Kitanaka S; Kikuchi J; Saito K
    Metabolomics; 2014; 10(4):543-555. PubMed ID: 25057267
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Untargeted Metabolite Profiling of Specialty Rice Grains Using Gas Chromatography Mass Spectrometry.
    Kambale R; Raveendran M; Ramalingam J
    Int J Anal Chem; 2022; 2022():2558072. PubMed ID: 36245783
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Effects of storage on brown rice (
    Wang C; Feng Y; Zhang S; Fu T; Sheng Y; Zhang Y; Jiang Y; Yu M; Zhang L; Zhang D
    Food Sci Nutr; 2020 Jun; 8(6):2882-2894. PubMed ID: 32566206
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Preparation and chemical characteristics of Karunguruvai Khadi used in the traditional Siddha formulation of herbo-mineral-based medicine.
    Chellakkan E; Nainarpandian C; Blessed F; Gnanamanickam VR
    J Tradit Complement Med; 2016 Jan; 6(1):105-11. PubMed ID: 26870687
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dissection of genotype-phenotype associations in rice grains using metabolome quantitative trait loci analysis.
    Matsuda F; Okazaki Y; Oikawa A; Kusano M; Nakabayashi R; Kikuchi J; Yonemaru J; Ebana K; Yano M; Saito K
    Plant J; 2012 May; 70(4):624-36. PubMed ID: 22229385
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Metabolite profiling, antioxidant, and α-glucosidase inhibitory activities of germinated rice: nuclear-magnetic-resonance-based metabolomics study.
    Pramai P; Hamid NAA; Mediani A; Maulidiani M; Abas F; Jiamyangyuen S
    J Food Drug Anal; 2018 Jan; 26(1):47-57. PubMed ID: 29389588
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Metabolomic fingerprinting of volatile organic compounds for the geographical discrimination of rice samples from China, Vietnam and India.
    Ch R; Chevallier O; McCarron P; McGrath TF; Wu D; Nguyen Doan Duy L; Kapil AP; McBride M; Elliott CT
    Food Chem; 2021 Jan; 334():127553. PubMed ID: 32688177
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparative Metabolic Profiling of Different Colored Rice Grains Reveals the Distribution of Major Active Compounds and Key Secondary Metabolites in Green Rice.
    Zhao M; Zhai L; Tang Q; Ren J; Zhou S; Wang H; Yun Y; Yang Q; Yan X; Xing F; Qiao W
    Foods; 2024 Jun; 13(12):. PubMed ID: 38928840
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Metabolite profiling of the short-term responses of rice leaves (Oryza sativa cv. Ilmi) cultivated under different LED lights and its correlations with antioxidant activities.
    Jung ES; Lee S; Lim SH; Ha SH; Liu KH; Lee CH
    Plant Sci; 2013 Sep; 210():61-9. PubMed ID: 23849114
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparative analysis of rice reveals insights into the mechanism of colored rice via widely targeted metabolomics.
    Zhang L; Cui D; Ma X; Han B; Han L
    Food Chem; 2023 Jan; 399():133926. PubMed ID: 36007446
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Combined mass spectrometry-based metabolite profiling of different pigmented rice (Oryza sativa L.) seeds and correlation with antioxidant activities.
    Kim GR; Jung ES; Lee S; Lim SH; Ha SH; Lee CH
    Molecules; 2014 Sep; 19(10):15673-86. PubMed ID: 25268721
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Metabolic profiling of transgenic rice with cryIAc and sck genes: an evaluation of unintended effects at metabolic level by using GC-FID and GC-MS.
    Zhou J; Ma C; Xu H; Yuan K; Lu X; Zhu Z; Wu Y; Xu G
    J Chromatogr B Analyt Technol Biomed Life Sci; 2009 Mar; 877(8-9):725-32. PubMed ID: 19233746
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.