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Items: 1 to 20 of 66

1.

Dissecting the Characteristics and Dynamics of Human Protein Complexes at Transcriptome Cascade Using RNA-Seq Data.

Chen G, Chen J, Shi C, Shi L, Tong W, Shi T.

PLoS One. 2013 Jun 18;8(6):e66521. doi: 10.1371/journal.pone.0066521. Print 2013.

2.

Comparative analysis of human protein-coding and noncoding RNAs between brain and 10 mixed cell lines by RNA-Seq.

Chen G, Yin K, Shi L, Fang Y, Qi Y, Li P, Luo J, He B, Liu M, Shi T.

PLoS One. 2011;6(11):e28318. doi: 10.1371/journal.pone.0028318. Epub 2011 Nov 30.

3.

Network-Based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis.

Zhang W, Chang JW, Lin L, Minn K, Wu B, Chien J, Yong J, Zheng H, Kuang R.

PLoS Comput Biol. 2015 Dec 23;11(12):e1004465. doi: 10.1371/journal.pcbi.1004465. eCollection 2015 Dec.

4.
5.

Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq.

Beane J, Vick J, Schembri F, Anderlind C, Gower A, Campbell J, Luo L, Zhang XH, Xiao J, Alekseyev YO, Wang S, Levy S, Massion PP, Lenburg M, Spira A.

Cancer Prev Res (Phila). 2011 Jun;4(6):803-17. doi: 10.1158/1940-6207.CAPR-11-0212.

6.

RNA-Seq profiling reveals novel hepatic gene expression pattern in aflatoxin B1 treated rats.

Merrick BA, Phadke DP, Auerbach SS, Mav D, Stiegelmeyer SM, Shah RR, Tice RR.

PLoS One. 2013 Apr 22;8(4):e61768. doi: 10.1371/journal.pone.0061768. Print 2013.

7.

RNA-Seq provides new insights in the transcriptome responses induced by the carcinogen benzo[a]pyrene.

van Delft J, Gaj S, Lienhard M, Albrecht MW, Kirpiy A, Brauers K, Claessen S, Lizarraga D, Lehrach H, Herwig R, Kleinjans J.

Toxicol Sci. 2012 Dec;130(2):427-39. doi: 10.1093/toxsci/kfs250. Epub 2012 Aug 13.

PMID:
22889811
8.

Blind spots of quantitative RNA-seq: the limits for assessing abundance, differential expression, and isoform switching.

Rehrauer H, Opitz L, Tan G, Sieverling L, Schlapbach R.

BMC Bioinformatics. 2013 Dec 24;14:370. doi: 10.1186/1471-2105-14-370.

9.

Unique transcriptome patterns of the white and grey matter corroborate structural and functional heterogeneity in the human frontal lobe.

Mills JD, Kavanagh T, Kim WS, Chen BJ, Kawahara Y, Halliday GM, Janitz M.

PLoS One. 2013 Oct 23;8(10):e78480. doi: 10.1371/journal.pone.0078480. eCollection 2013.

10.

AKT-1, -2, and -3 are expressed in both normal and tumor tissues of the lung, breast, prostate, and colon.

Zinda MJ, Johnson MA, Paul JD, Horn C, Konicek BW, Lu ZH, Sandusky G, Thomas JE, Neubauer BL, Lai MT, Graff JR.

Clin Cancer Res. 2001 Aug;7(8):2475-9.

11.

Exploring the gonad transcriptome of two extreme male pigs with RNA-seq.

Esteve-Codina A, Kofler R, Palmieri N, Bussotti G, Notredame C, Pérez-Enciso M.

BMC Genomics. 2011 Nov 8;12:552. doi: 10.1186/1471-2164-12-552.

12.

Whole transcriptome sequencing of the aging rat brain reveals dynamic RNA changes in the dark matter of the genome.

Wood SH, Craig T, Li Y, Merry B, de Magalhães JP.

Age (Dordr). 2013 Jun;35(3):763-76. doi: 10.1007/s11357-012-9410-1. Epub 2012 May 4.

13.

Finding the active genes in deep RNA-seq gene expression studies.

Hart T, Komori HK, LaMere S, Podshivalova K, Salomon DR.

BMC Genomics. 2013 Nov 11;14:778. doi: 10.1186/1471-2164-14-778.

14.

Transcriptome characterization by RNA-Seq reveals the involvement of the complement components in noise-traumatized rat cochleae.

Patel M, Hu Z, Bard J, Jamison J, Cai Q, Hu BH.

Neuroscience. 2013 Sep 17;248:1-16. doi: 10.1016/j.neuroscience.2013.05.038. Epub 2013 May 30.

15.

RNA-seq analysis of transcriptomes in thrombin-treated and control human pulmonary microvascular endothelial cells.

Cheranova D, Gibson M, Chaudhary S, Zhang LQ, Heruth DP, Grigoryev DN, Ye SQ.

J Vis Exp. 2013 Feb 13;(72). pii: 4393. doi: 10.3791/4393.

16.

Predicting gene regulatory networks of soybean nodulation from RNA-Seq transcriptome data.

Zhu M, Dahmen JL, Stacey G, Cheng J.

BMC Bioinformatics. 2013 Sep 22;14:278. doi: 10.1186/1471-2105-14-278.

17.

RNA-Seq as a Tool to Study the Tumor Microenvironment.

Panichnantakul P, Bourgey M, Montpetit A, Bourque G, Riazalhosseini Y.

Methods Mol Biol. 2016;1458:311-37. doi: 10.1007/978-1-4939-3801-8_22.

PMID:
27581031
18.

Whole-transcriptome, high-throughput RNA sequence analysis of the bovine macrophage response to Mycobacterium bovis infection in vitro.

Nalpas NC, Park SD, Magee DA, Taraktsoglou M, Browne JA, Conlon KM, Rue-Albrecht K, Killick KE, Hokamp K, Lohan AJ, Loftus BJ, Gormley E, Gordon SV, MacHugh DE.

BMC Genomics. 2013 Apr 8;14:230. doi: 10.1186/1471-2164-14-230.

19.

Integrative analysis reveals enhanced regulatory effects of human long intergenic non-coding RNAs in lung adenocarcinoma.

Zhou Y, Wu K, Jiang J, Huang J, Zhang P, Zhu Y, Hu G, Lang J, Shi Y, Hu L, Huang T, Kong X.

J Genet Genomics. 2015 Aug 20;42(8):423-36. doi: 10.1016/j.jgg.2015.07.001. Epub 2015 Jul 10.

PMID:
26336799
20.

Next-generation sequencing facilitates quantitative analysis of wild-type and Nrl(-/-) retinal transcriptomes.

Brooks MJ, Rajasimha HK, Roger JE, Swaroop A.

Mol Vis. 2011;17:3034-54. Epub 2011 Nov 23.

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