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Items: 1 to 20 of 23

1.

Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics.

Khizar M, Shi J, Saleem S, Liaquat F, Ashraf M, Latif S, Haroon U, Hassan SW, Rehman SU, Chaudhary HJ, Quraishi UM, Munis MFH.

PLoS One. 2020 Feb 12;15(2):e0228675. doi: 10.1371/journal.pone.0228675. eCollection 2020.

2.

ColocML: Machine learning quantifies co-localization between mass spectrometry images.

Ovchinnikova K, Stuart L, Rakhlin A, Nikolenko S, Alexandrov T.

Bioinformatics. 2020 Feb 12. pii: btaa085. doi: 10.1093/bioinformatics/btaa085. [Epub ahead of print]

PMID:
32049317
3.

Combined Liquid Chromatography-mass Spectrometry and Next-generation DNA Sequencing Detection of Adulterants and Contaminants in Analgesic and Anti-inflammatory Herbal Medicines.

Hoban CL, Musgrave IF, Byard RW, Nash C, Farrington R, Maker G, Crighton E, Bunce M, Coghlan M.

Pharmaceut Med. 2019 Nov 16. doi: 10.1007/s40290-019-00314-y. [Epub ahead of print]

PMID:
32048209
4.

Metabolomics evaluation of repeated administration of potassium iodide on adult male rats.

Rosique C, Lebsir D, Benatia S, Guigon P, Caire-Maurisier F, Benderitter M, Souidi M, Martin JC.

Arch Toxicol. 2020 Feb 11. doi: 10.1007/s00204-020-02666-w. [Epub ahead of print]

PMID:
32047979
5.

Urine Metabolite Profiles and Nutrient Intake Based on 4-Day Weighed Food Diary in Habitual Vegans, Vegetarians, and Omnivores.

Lindqvist HM, Rådjursöga M, Torstensson T, Jansson L, Ellegård L, Winkvist A.

J Nutr. 2020 Feb 11. pii: nxaa019. doi: 10.1093/jn/nxaa019. [Epub ahead of print]

PMID:
32047921
6.

Network analyses in microbiome based on high-throughput multi-omics data.

Liu Z, Ma A, Mathé E, Merling M, Ma Q, Liu B.

Brief Bioinform. 2020 Feb 11. pii: bbaa005. doi: 10.1093/bib/bbaa005. [Epub ahead of print]

PMID:
32047891
7.

Liquid Chromatography-Mass Spectrometry-Based Plasma Metabolomics Study of the Effects of Moxibustion with Seed-Sized Moxa Cone on Hyperlipidemia.

Shao Q, Cheng J, Li Y, Ni G.

Evid Based Complement Alternat Med. 2020 Jan 22;2020:1231357. doi: 10.1155/2020/1231357. eCollection 2020.

8.

The Progress of Multi-Omics Technologies: Determining Function in Lactic Acid Bacteria Using a Systems Level Approach.

O'Donnell ST, Ross RP, Stanton C.

Front Microbiol. 2020 Jan 28;10:3084. doi: 10.3389/fmicb.2019.03084. eCollection 2019. Review.

9.

Proteome Analysis of Isolated Podocytes Reveals Stress Responses in Glomerular Sclerosis.

Koehler S, Kuczkowski A, Kuehne L, Jüngst C, Hoehne M, Grahammer F, Eddy S, Kretzler M, Beck BB, Höhfeld J, Schermer B, Benzing T, Brinkkoetter PT, Rinschen MM.

J Am Soc Nephrol. 2020 Feb 11. pii: ASN.2019030312. doi: 10.1681/ASN.2019030312. [Epub ahead of print]

PMID:
32047005
10.

Improving the accuracy and efficacy of diagnosing polycystic ovary syndrome by integrating metabolomics with clinical characteristics: study protocol for a randomized controlled trial.

Ni CM, Huang WL, Jiang YM, Xu J, Duan R, Zhu YL, Zhu XP, Fan XM, Luo GA, Wang YM, Li YY, He Q, Xu L.

Trials. 2020 Feb 11;21(1):169. doi: 10.1186/s13063-020-4060-6.

11.

The novel potential biomarkers for multidrug-resistance tuberculosis using UPLC-Q-TOF-MS.

Huang H, Han YS, Chen J, Shi LY, Wei LL, Jiang TT, Yi WJ, Yu Y, Li ZB, Li JC.

Exp Biol Med (Maywood). 2020 Feb 11:1535370220903464. doi: 10.1177/1535370220903464. [Epub ahead of print] No abstract available.

PMID:
32046521
12.

Metabolic Changes of Maternal Uterine Fluid, Uterus, and Plasma during the Peri-implantation Period of Early Pregnancy in Mice.

Yang Y, Wang L, Chen C, Qi H, Baker PN, Liu X, Zhang H, Han TL.

Reprod Sci. 2020 Jan 6. doi: 10.1007/s43032-019-00040-5. [Epub ahead of print]

PMID:
32046443
13.

Feeding the Outer Bran Fraction of Rice Alters Hepatic Carbohydrate Metabolism in Rats.

Kawaguchi M, Nishikoba N, Shimamoto S, Tomonaga S, Kohrogi R, Yamauchi Y, Fujita Y, Ohtsuka A, Ijiri D.

Nutrients. 2020 Feb 7;12(2). pii: E430. doi: 10.3390/nu12020430.

15.

Systemic Effects of Radiotherapy and Concurrent Chemo-Radiotherapy in Head and Neck Cancer Patients-Comparison of Serum Metabolome Profiles.

Jelonek K, Krzywon A, Jablonska P, Slominska EM, Smolenski RT, Polanska J, Rutkowski T, Mrochem-Kwarciak J, Skladowski K, Widlak P.

Metabolites. 2020 Feb 7;10(2). pii: E60. doi: 10.3390/metabo10020060.

16.

Transcriptomic and Metabolomic Changes Triggered by Fusarium solani in Common Bean (Phaseolus vulgaris L.).

Chen L, Wu Q, He T, Lan J, Ding L, Liu T, Wu Q, Pan Y, Chen T.

Genes (Basel). 2020 Feb 7;11(2). pii: E177. doi: 10.3390/genes11020177.

17.

Lipidomics analysis for identifying the geographical origin and lactation stage of goat milk.

Liu H, Guo X, Zhao Q, Qin Y, Zhang J.

Food Chem. 2020 Mar 30;309:125765. doi: 10.1016/j.foodchem.2019.125765. Epub 2019 Oct 23.

PMID:
31711812
18.

Transcriptome Sequencing and Metabolome Analysis Reveal Genes Involved in Pigmentation of Green-Colored Cotton Fibers.

Sun S, Xiong XP, Zhu Q, Li YJ, Sun J.

Int J Mol Sci. 2019 Sep 29;20(19). pii: E4838. doi: 10.3390/ijms20194838.

19.
20.

Combining the wisdoms of traditional medicine with cutting-edge science and technology at the forefront of medical sciences.

Efferth T, Xu AL, Lee DYW.

Phytomedicine. 2019 Nov;64:153078. doi: 10.1016/j.phymed.2019.153078. Epub 2019 Aug 29.

PMID:
31505440

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