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Items: 1 to 20 of 61

1.

Over-expression of a protein disulfide isomerase gene from Methanothermobacter thermautotrophicus, enhances heat stress tolerance in rice.

Wang X, Chen J, Liu C, Luo J, Yan X, Aihua Ai, Cai Y, Xie H, Ding X, Peng X.

Gene. 2019 Feb 5;684:124-130. doi: 10.1016/j.gene.2018.10.064. Epub 2018 Oct 25.

PMID:
30367983
2.

Comparative proteomic analysis of Methanothermobacter thermautotrophicus reveals methane formation from H2 and CO2 under different temperature conditions.

Liu C, Mao L, Zheng X, Yuan J, Hu B, Cai Y, Xie H, Peng X, Ding X.

Microbiologyopen. 2019 May;8(5):e00715. doi: 10.1002/mbo3.715. Epub 2018 Sep 10.

3.

Machine Learning Models for the Hearing Impairment Prediction in Workers Exposed to Complex Industrial Noise: A Pilot Study.

Zhao Y, Li J, Zhang M, Lu Y, Xie H, Tian Y, Qiu W.

Ear Hear. 2019 May/Jun;40(3):690-699. doi: 10.1097/AUD.0000000000000649.

4.

The chimeric mitochondrial gene orf182 causes non-pollen-type abortion in Dongxiang cytoplasmic male-sterile rice.

Xie H, Peng X, Qian M, Cai Y, Ding X, Chen Q, Cai Q, Zhu Y, Yan L, Cai Y.

Plant J. 2018 Jun 7. doi: 10.1111/tpj.13982. [Epub ahead of print]

5.

Use of the kurtosis statistic in an evaluation of the effects of noise and solvent exposures on the hearing thresholds of workers: An exploratory study.

Fuente A, Qiu W, Zhang M, Xie H, Kardous CA, Campo P, Morata TC.

J Acoust Soc Am. 2018 Mar;143(3):1704. doi: 10.1121/1.5028368.

PMID:
29604694
6.

Expression of a mitochondrial gene orfH79 from CMS-Honglian rice inhibits Escherichia coli growth via deficient oxygen consumption.

Ding X, Chen Q, Bao C, Ai A, Zhou Y, Li S, Xie H, Zhu Y, Cai Y, Peng X.

Springerplus. 2016 Jul 19;5(1):1125. doi: 10.1186/s40064-016-2822-0. eCollection 2016.

7.

Quantitative and In-Depth Survey of the Isotopic Abundance Distribution Errors in Shotgun Proteomics.

Chang C, Zhang J, Xu C, Zhao Y, Ma J, Chen T, He F, Xie H, Zhu Y.

Anal Chem. 2016 Jul 5;88(13):6844-51. doi: 10.1021/acs.analchem.6b01409. Epub 2016 Jun 20.

PMID:
27266261
8.

The analyses of human inherited disease and tissue-specific proteins in the interaction network.

Liu W, Sun Z, Xie H.

J Biomed Inform. 2016 Jun;61:10-8. doi: 10.1016/j.jbi.2016.03.012. Epub 2016 Mar 21.

9.

Functional Proteomics Study Reveals SUMOylation of TFII-I is Involved in Liver Cancer Cell Proliferation.

Tu J, Chen Y, Cai L, Xu C, Zhang Y, Chen Y, Zhang C, Zhao J, Cheng J, Xie H, Zhong F, He F.

J Proteome Res. 2015 Jun 5;14(6):2385-97. doi: 10.1021/acs.jproteome.5b00062. Epub 2015 Apr 29.

PMID:
25869096
10.

Evaluation of methyl bromide alternatives efficacy against soil-borne pathogens, nematodes and soil microbial community.

Xie H, Yan D, Mao L, Wang Q, Li Y, Ouyang C, Guo M, Cao A.

PLoS One. 2015 Feb 27;10(2):e0117980. doi: 10.1371/journal.pone.0117980. eCollection 2015.

11.

PathPPI: an integrated dataset of human pathways and protein-protein interactions.

Tang H, Zhong F, Liu W, He F, Xie H.

Sci China Life Sci. 2015 Jun;58(6):579-89. doi: 10.1007/s11427-014-4766-3. Epub 2015 Jan 15.

PMID:
25591449
12.

Construction and analyses of human large-scale tissue specific networks.

Liu W, Wang J, Wang T, Xie H.

PLoS One. 2014 Dec 16;9(12):e115074. doi: 10.1371/journal.pone.0115074. eCollection 2014.

13.

Evaluation of empirical rule of linearly correlated peptide selection (ERLPS) for proteotypic peptide-based quantitative proteomics.

Liu K, Zhang J, Fu B, Xie H, Wang Y, Qian X.

Proteomics. 2014 Jul;14(13-14):1593-603. doi: 10.1002/pmic.201300032. Epub 2014 Jun 11.

PMID:
24827140
14.

Screening drug target proteins based on sequence information.

Wang JT, Liu W, Tang H, Xie H.

J Biomed Inform. 2014 Jun;49:269-74. doi: 10.1016/j.jbi.2014.03.009. Epub 2014 Mar 21.

15.

SILVER: an efficient tool for stable isotope labeling LC-MS data quantitative analysis with quality control methods.

Chang C, Zhang J, Han M, Ma J, Zhang W, Wu S, Liu K, Xie H, He F, Zhu Y.

Bioinformatics. 2014 Feb 15;30(4):586-7. doi: 10.1093/bioinformatics/btt726. Epub 2013 Dec 15.

PMID:
24344194
16.

Prediction of regulation relationship between protein interactions in signaling networks.

Liu W, Xie H.

Biochem Biophys Res Commun. 2013 Oct 25;440(3):388-92. doi: 10.1016/j.bbrc.2013.09.093. Epub 2013 Oct 1.

PMID:
24095690
17.

Reconstruction of signaling network from protein interactions based on function annotations.

Liu W, Li D, Zhu Y, Xie H, He F.

IEEE/ACM Trans Comput Biol Bioinform. 2013 Mar-Apr;10(2):514-21. doi: 10.1109/TCBB.2013.20.

PMID:
23929874
18.

FTDR 2.0: a tool to achieve sub-ppm level recalibrated accuracy in routine LC-MS analysis.

Zhang J, Ma J, Zhang W, Xu C, Zhu Y, Xie H.

J Proteome Res. 2013 Sep 6;12(9):3857-64. doi: 10.1021/pr400003a. Epub 2013 Aug 7.

PMID:
23875924
19.

A proteomics strategy for the identification of FAT10-modified sites by mass spectrometry.

Leng L, Xu C, Wei C, Zhang J, Liu B, Ma J, Li N, Qin W, Zhang W, Zhang C, Xing X, Zhai L, Yang F, Li M, Jin C, Yuan Y, Xu P, Qin J, Xie H, He F, Wang J.

J Proteome Res. 2014 Jan 3;13(1):268-76. doi: 10.1021/pr400395k. Epub 2013 Aug 19.

PMID:
23862649
20.

Predicting potential cancer genes by integrating network properties, sequence features and functional annotations.

Liu W, Xie H.

Sci China Life Sci. 2013 Aug;56(8):751-7. doi: 10.1007/s11427-013-4500-6. Epub 2013 Jul 10.

PMID:
23838808

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