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Results: 1 to 20 of 83

1.

[Prediction and bioinformatics analysis of human gene expression profiling regulated by amifostine].

Yang B, Cai LL, Chi XH, Lu XC, Zhang F, Tuo S, Zhu HL, Liu LH, Yan JW, Tuo CW.

Zhongguo Shi Yan Xue Ye Xue Za Zhi. 2011 Jun;19(3):711-6. Chinese.

PMID:
21729556
[PubMed - indexed for MEDLINE]
2.

[Application of bioinformatics analysis to optimize amifostine combination therapeutic regimen of myelodysplastic syndrome].

Lu XC, Yang B, Zhu HL, Fan H, Li SX, Liu Y, Yao SQ.

Zhonghua Yi Xue Za Zhi. 2009 Jul 14;89(26):1834-7. Chinese.

PMID:
19953928
[PubMed - indexed for MEDLINE]
3.

[Experimental identification of drugs with function of targeted up-regulating ID4 expression: bioinformatics-based prediction and preliminary validation].

Yang B, Lu XC, Liu LH, Zhu HL, Chi XH, Yao SQ, Lou FD, Yu L.

Zhonghua Yi Xue Za Zhi. 2009 Jun 23;89(24):1714-6. Chinese.

PMID:
19957534
[PubMed - indexed for MEDLINE]
4.

Interaction of amifostine and ionizing radiation on transcriptional patterns of apoptotic genes expressed in human microvascular endothelial cells (HMEC).

Khodarev NN, Kataoka Y, Murley JS, Weichselbaum RR, Grdina DJ.

Int J Radiat Oncol Biol Phys. 2004 Oct 1;60(2):553-63.

PMID:
15380592
[PubMed - indexed for MEDLINE]
5.

[Screening for cervical cancer-related genes and their bioinformatics analysis].

Chen SZ, Ma WL, Zheng WL.

Nan Fang Yi Ke Da Xue Xue Bao. 2008 Apr;28(4):585-8. Chinese.

PMID:
18495597
[PubMed - indexed for MEDLINE]
Free Article
6.

cDNA microarray study to identify expression changes relevant for apoptosis in K562 cells co-treated with amifostine and imatinib.

Bianchini M, Martinelli G, Renzulli M, Gonzalez Cid M, Larripa I.

Cancer Chemother Pharmacol. 2007 Feb;59(3):349-60. Epub 2006 Sep 29.

PMID:
17009037
[PubMed - indexed for MEDLINE]
7.

D-Serine exposure resulted in gene expression changes indicative of activation of fibrogenic pathways and down-regulation of energy metabolism and oxidative stress response.

Soto A, DelRaso NJ, Schlager JJ, Chan VT.

Toxicology. 2008 Jan 14;243(1-2):177-92. Epub 2007 Oct 23.

PMID:
18061331
[PubMed - indexed for MEDLINE]
8.
9.

Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.

Maruschke M, Reuter D, Koczan D, Hakenberg OW, Thiesen HJ.

BJU Int. 2011 Jul;108(2 Pt 2):E29-35. doi: 10.1111/j.1464-410X.2010.09794.x. Epub 2011 Mar 16.

PMID:
21435154
[PubMed - indexed for MEDLINE]
10.

Microarray analysis of gene expression profile of multidrug resistance in pancreatic cancer.

Zhao YP, Chen G, Feng B, Zhang TP, Ma EL, Wu YD.

Chin Med J (Engl). 2007 Oct 20;120(20):1743-52.

PMID:
18028764
[PubMed - indexed for MEDLINE]
Free Article
11.

Amifostine impairs p53-mediated apoptosis of human myeloid leukemia cells.

Acosta JC, Richard C, Delgado MD, Horita M, Rizzo MG, Fernández-Luna JL, León J.

Mol Cancer Ther. 2003 Sep;2(9):893-900.

PMID:
14555708
[PubMed - indexed for MEDLINE]
Free Article
12.

Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling.

Fang H, Tong W, Perkins R, Shi L, Hong H, Cao X, Xie Q, Yim SH, Ward JM, Pitot HC, Dragan YP.

BMC Bioinformatics. 2005 Jul 15;6 Suppl 2:S6.

PMID:
16026603
[PubMed - indexed for MEDLINE]
Free PMC Article
13.

Technology evaluation: SAGE, Genzyme molecular oncology.

Bartlett J.

Curr Opin Mol Ther. 2001 Feb;3(1):85-96. Review.

PMID:
11249736
[PubMed - indexed for MEDLINE]
14.

D-Serine exposure resulted in gene expression changes implicated in neurodegenerative disorders and neuronal dysfunction in male Fischer 344 rats.

Davidson ME, Kerepesi LA, Soto A, Chan VT.

Arch Toxicol. 2009 Aug;83(8):747-62. doi: 10.1007/s00204-009-0405-3. Epub 2009 Feb 11.

PMID:
19212759
[PubMed - indexed for MEDLINE]
15.

Differential gene expression profiling of oesophageal squamous cell carcinoma by DNA microarray and bioinformatics analysis.

Li JD, Feng QC, Li JS.

J Int Med Res. 2010;38(6):1904-12.

PMID:
21226993
[PubMed - indexed for MEDLINE]
16.

Generation of p53 target database via integration of microarray and global p53 DNA-binding site analysis.

Liu S, Mirza A, Wang L.

Methods Mol Biol. 2004;281:33-54.

PMID:
15220520
[PubMed - indexed for MEDLINE]
17.

[Key genes in the pathogenesis of prostate cancer in Chinese men: a bioinformatic study].

Wang G, Yang K, Meng S, Xu Y, Yang ZH, Liu Y.

Zhonghua Nan Ke Xue. 2010 Apr;16(4):320-4. Chinese.

PMID:
20626159
[PubMed - indexed for MEDLINE]
18.

Identification of differentially expressed genes in human bladder cancer through genome-wide gene expression profiling.

Kawakami K, Enokida H, Tachiwada T, Gotanda T, Tsuneyoshi K, Kubo H, Nishiyama K, Takiguchi M, Nakagawa M, Seki N.

Oncol Rep. 2006 Sep;16(3):521-31.

PMID:
16865252
[PubMed - indexed for MEDLINE]
19.

MILANO--custom annotation of microarray results using automatic literature searches.

Rubinstein R, Simon I.

BMC Bioinformatics. 2005 Jan 20;6:12.

PMID:
15661078
[PubMed - indexed for MEDLINE]
Free PMC Article
20.

Microarray analysis identifies differentially expressed genes induced by human papillomavirus type 18 E6 silencing RNA.

Min W, Wen-li M, Zhao-hui S, Ling L, Bao Z, Wen-ling Z.

Int J Gynecol Cancer. 2009 May;19(4):547-63. doi: 10.1111/IGC.0b013e3181a44c68.

PMID:
19509549
[PubMed - indexed for MEDLINE]

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