Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 18

1.

Therapeutic Targeting of KDM1A/LSD1 in Ewing Sarcoma with SP-2509 Engages the Endoplasmic Reticulum Stress Response.

Pishas KI, Drenberg CD, Taslim C, Theisen ER, Johnson KM, Saund RS, Pop IL, Crompton BD, Lawlor ER, Tirode F, Mora J, Delattre O, Beckerle MC, Callen DF, Sharma S, Lessnick SL.

Mol Cancer Ther. 2018 Sep;17(9):1902-1916. doi: 10.1158/1535-7163.MCT-18-0373. Epub 2018 Jul 11.

PMID:
29997151
2.

Identification of two types of GGAA-microsatellites and their roles in EWS/FLI binding and gene regulation in Ewing sarcoma.

Johnson KM, Taslim C, Saund RS, Lessnick SL.

PLoS One. 2017 Nov 1;12(11):e0186275. doi: 10.1371/journal.pone.0186275. eCollection 2017.

3.

Role for the EWS domain of EWS/FLI in binding GGAA-microsatellites required for Ewing sarcoma anchorage independent growth.

Johnson KM, Mahler NR, Saund RS, Theisen ER, Taslim C, Callender NW, Crow JC, Miller KR, Lessnick SL.

Proc Natl Acad Sci U S A. 2017 Sep 12;114(37):9870-9875. doi: 10.1073/pnas.1701872114. Epub 2017 Aug 28.

4.

Discovery and replication of microRNAs for breast cancer risk using genome-wide profiling.

Taslim C, Weng DY, Brasky TM, Dumitrescu RG, Huang K, Kallakury BV, Krishnan S, Llanos AA, Marian C, McElroy J, Schneider SS, Spear SL, Troester MA, Freudenheim JL, Geyer S, Shields PG.

Oncotarget. 2016 Dec 27;7(52):86457-86468. doi: 10.18632/oncotarget.13241.

5.

Genetic variation in one-carbon metabolism in relation to genome-wide DNA methylation in breast tissue from heathy women.

Song MA, Brasky TM, Marian C, Weng DY, Taslim C, Llanos AA, Dumitrescu RG, Liu Z, Mason JB, Spear SL, Kallakury BV, Freudenheim JL, Shields PG.

Carcinogenesis. 2016 Mar 9. pii: bgw030. [Epub ahead of print]

PMID:
26961134
6.

Racial differences in genome-wide methylation profiling and gene expression in breast tissues from healthy women.

Song MA, Brasky TM, Marian C, Weng DY, Taslim C, Dumitrescu RG, Llanos AA, Freudenheim JL, Shields PG.

Epigenetics. 2015;10(12):1177-87. doi: 10.1080/15592294.2015.1121362.

7.

Persistent alterations of gene expression profiling of human peripheral blood mononuclear cells from smokers.

Weng DY, Chen J, Taslim C, Hsu PC, Marian C, David SP, Loffredo CA, Shields PG.

Mol Carcinog. 2016 Oct;55(10):1424-37. doi: 10.1002/mc.22385. Epub 2015 Aug 21.

8.

BOG: R-package for Bacterium and virus analysis of Orthologous Groups.

Park J, Taslim C, Lin S.

Comput Struct Biotechnol J. 2015 May 21;13:366-9. doi: 10.1016/j.csbj.2015.05.002. eCollection 2015.

9.

A mixture modeling framework for differential analysis of high-throughput data.

Taslim C, Lin S.

Comput Math Methods Med. 2014;2014:758718. doi: 10.1155/2014/758718. Epub 2014 Jun 25.

10.

Practical guidelines for the comprehensive analysis of ChIP-seq data.

Bailey T, Krajewski P, Ladunga I, Lefebvre C, Li Q, Liu T, Madrigal P, Taslim C, Zhang J.

PLoS Comput Biol. 2013;9(11):e1003326. doi: 10.1371/journal.pcbi.1003326. Epub 2013 Nov 14.

11.

Renin-sensitive microRNAs correlate with atherosclerosis plaque progression.

Deiuliis J, Mihai G, Zhang J, Taslim C, Varghese JJ, Maiseyeu A, Huang K, Rajagopalan S.

J Hum Hypertens. 2014 Apr;28(4):251-8. doi: 10.1038/jhh.2013.97. Epub 2013 Oct 24.

PMID:
24152824
12.

Integrative genome-wide chromatin signature analysis using finite mixture models.

Taslim C, Lin S, Huang K, Huang TH.

BMC Genomics. 2012;13 Suppl 6:S3. doi: 10.1186/1471-2164-13-S6-S3. Epub 2012 Oct 26.

13.

A quantitative proteomic workflow for characterization of frozen clinical biopsies: laser capture microdissection coupled with label-free mass spectrometry.

Shapiro JP, Biswas S, Merchant AS, Satoskar A, Taslim C, Lin S, Rovin BH, Sen CK, Roy S, Freitas MA.

J Proteomics. 2012 Dec 21;77:433-40. doi: 10.1016/j.jprot.2012.09.019. Epub 2012 Sep 25.

14.

Integrated analysis identifies a class of androgen-responsive genes regulated by short combinatorial long-range mechanism facilitated by CTCF.

Taslim C, Chen Z, Huang K, Huang TH, Wang Q, Lin S.

Nucleic Acids Res. 2012 Jun;40(11):4754-64. doi: 10.1093/nar/gks139. Epub 2012 Feb 16.

15.

Analyzing ChIP-seq data: preprocessing, normalization, differential identification, and binding pattern characterization.

Taslim C, Huang K, Huang T, Lin S.

Methods Mol Biol. 2012;802:275-91. doi: 10.1007/978-1-61779-400-1_18.

PMID:
22130887
16.

DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models.

Taslim C, Huang T, Lin S.

Bioinformatics. 2011 Jun 1;27(11):1569-70. doi: 10.1093/bioinformatics/btr165. Epub 2011 Apr 5.

17.

Epigenetic silencing mediated through activated PI3K/AKT signaling in breast cancer.

Zuo T, Liu TM, Lan X, Weng YI, Shen R, Gu F, Huang YW, Liyanarachchi S, Deatherage DE, Hsu PY, Taslim C, Ramaswamy B, Shapiro CL, Lin HJ, Cheng AS, Jin VX, Huang TH.

Cancer Res. 2011 Mar 1;71(5):1752-62. doi: 10.1158/0008-5472.CAN-10-3573. Epub 2011 Jan 7.

18.

Comparative study on ChIP-seq data: normalization and binding pattern characterization.

Taslim C, Wu J, Yan P, Singer G, Parvin J, Huang T, Lin S, Huang K.

Bioinformatics. 2009 Sep 15;25(18):2334-40. doi: 10.1093/bioinformatics/btp384. Epub 2009 Jun 26.

Supplemental Content

Loading ...
Support Center