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Items: 1 to 20 of 123

1.

A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.

Kloster MB, Bilgrau AE, Rodrigo-Domingo M, Bergkvist KS, Schmitz A, Sønderkær M, Bødker JS, Falgreen S, Nyegaard M, Johnsen HE, Nielsen KL, Dybkaer K, Bøgsted M.

BMC Genomics. 2012 Nov 5;13:596. doi: 10.1186/1471-2164-13-596.

2.

A systematic comparison and evaluation of high density exon arrays and RNA-seq technology used to unravel the peripheral blood transcriptome of sickle cell disease.

Raghavachari N, Barb J, Yang Y, Liu P, Woodhouse K, Levy D, O'Donnell CJ, Munson PJ, Kato GJ.

BMC Med Genomics. 2012 Jun 29;5:28. doi: 10.1186/1755-8794-5-28.

3.

Comparative RNA-Seq and microarray analysis of gene expression changes in B-cell lymphomas of Canis familiaris.

Mooney M, Bond J, Monks N, Eugster E, Cherba D, Berlinski P, Kamerling S, Marotti K, Simpson H, Rusk T, Tembe W, Legendre C, Benson H, Liang W, Webb CP.

PLoS One. 2013 Apr 4;8(4):e61088. doi: 10.1371/journal.pone.0061088. Print 2013.

4.

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling.

Castillo D, Gálvez JM, Herrera LJ, Román BS, Rojas F, Rojas I.

BMC Bioinformatics. 2017 Nov 21;18(1):506. doi: 10.1186/s12859-017-1925-0.

5.

A comparison of massively parallel nucleotide sequencing with oligonucleotide microarrays for global transcription profiling.

Bradford JR, Hey Y, Yates T, Li Y, Pepper SD, Miller CJ.

BMC Genomics. 2010 May 5;11:282. doi: 10.1186/1471-2164-11-282.

6.

RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.

Sîrbu A, Kerr G, Crane M, Ruskin HJ.

PLoS One. 2012;7(12):e50986. doi: 10.1371/journal.pone.0050986. Epub 2012 Dec 10.

7.

Evaluating gene expression in C57BL/6J and DBA/2J mouse striatum using RNA-Seq and microarrays.

Bottomly D, Walter NA, Hunter JE, Darakjian P, Kawane S, Buck KJ, Searles RP, Mooney M, McWeeney SK, Hitzemann R.

PLoS One. 2011 Mar 24;6(3):e17820. doi: 10.1371/journal.pone.0017820.

8.

Microarray analysis of B-cell lymphoma cell lines with the t(14;18).

Robetorye RS, Bohling SD, Morgan JW, Fillmore GC, Lim MS, Elenitoba-Johnson KS.

J Mol Diagn. 2002 Aug;4(3):123-36.

9.

Parallel comparison of Illumina RNA-Seq and Affymetrix microarray platforms on transcriptomic profiles generated from 5-aza-deoxy-cytidine treated HT-29 colon cancer cells and simulated datasets.

Xu X, Zhang Y, Williams J, Antoniou E, McCombie WR, Wu S, Zhu W, Davidson NO, Denoya P, Li E.

BMC Bioinformatics. 2013;14 Suppl 9:S1. doi: 10.1186/1471-2105-14-S9-S1. Epub 2013 Jun 28.

10.

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.

11.

Detection of chimaeric transcripts of the immunoglobulin heavy chain and BCL6 genes by reverse-transcriptase polymerase chain reaction in B-cell non-Hodgkin's lymphomas.

Kawamata N, Nakamura Y, Miki T, Sato E, Isobe Y, Furusawa S, Hirosawa S, Oshimi K.

Br J Haematol. 1998 Mar;100(3):484-9.

PMID:
9504630
12.

A comparison of RNA-seq and exon arrays for whole genome transcription profiling of the L5 spinal nerve transection model of neuropathic pain in the rat.

Perkins JR, Antunes-Martins A, Calvo M, Grist J, Rust W, Schmid R, Hildebrandt T, Kohl M, Orengo C, McMahon SB, Bennett DL.

Mol Pain. 2014 Jan 28;10:7. doi: 10.1186/1744-8069-10-7.

13.

Comparing next-generation sequencing and microarray technologies in a toxicological study of the effects of aristolochic acid on rat kidneys.

Su Z, Li Z, Chen T, Li QZ, Fang H, Ding D, Ge W, Ning B, Hong H, Perkins RG, Tong W, Shi L.

Chem Res Toxicol. 2011 Sep 19;24(9):1486-93. doi: 10.1021/tx200103b. Epub 2011 Aug 23.

PMID:
21834575
15.
16.

Loss of MHC class II gene and protein expression in diffuse large B-cell lymphoma is related to decreased tumor immunosurveillance and poor patient survival regardless of other prognostic factors: a follow-up study from the Leukemia and Lymphoma Molecular Profiling Project.

Rimsza LM, Roberts RA, Miller TP, Unger JM, LeBlanc M, Braziel RM, Weisenberger DD, Chan WC, Muller-Hermelink HK, Jaffe ES, Gascoyne RD, Campo E, Fuchs DA, Spier CM, Fisher RI, Delabie J, Rosenwald A, Staudt LM, Grogan TM.

Blood. 2004 Jun 1;103(11):4251-8. Epub 2004 Feb 19.

17.

Detection of aberrant transcription of major histocompatibility complex class II antigen presentation genes in chronic lymphocytic leukaemia identifies HLA-DOA mRNA as a prognostic factor for survival.

Souwer Y, Chamuleau ME, van de Loosdrecht AA, Tolosa E, Jorritsma T, Muris JJ, Dinnissen-van Poppel MJ, Snel SN, van de Corput L, Ossenkoppele GJ, Meijer CJ, Neefjes JJ, Marieke van Ham S.

Br J Haematol. 2009 May;145(3):334-43. doi: 10.1111/j.1365-2141.2009.07625.x. Epub 2009 Feb 24.

PMID:
19245431
18.

Comparison of microarrays and RNA-seq for gene expression analyses of dose-response experiments.

Black MB, Parks BB, Pluta L, Chu TM, Allen BC, Wolfinger RD, Thomas RS.

Toxicol Sci. 2014 Feb;137(2):385-403. doi: 10.1093/toxsci/kft249. Epub 2013 Nov 5.

PMID:
24194394
19.

RNA-Seq versus oligonucleotide array assessment of dose-dependent TCDD-elicited hepatic gene expression in mice.

Nault R, Fader KA, Zacharewski T.

BMC Genomics. 2015 May 10;16:373. doi: 10.1186/s12864-015-1527-z.

20.

The gene for interleukin-21 receptor is the partner of BCL6 in t(3;16)(q27;p11), which is recurrently observed in diffuse large B-cell lymphoma.

Ueda C, Akasaka T, Kurata M, Maesako Y, Nishikori M, Ichinohasama R, Imada K, Uchiyama T, Ohno H.

Oncogene. 2002 Jan 17;21(3):368-76.

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