1362 related articles for article (PubMed ID: 22162623)
1. 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. PubMed ID: 22162623
[TBL] [Abstract][Full Text] [Related]
2. Regulation of Noncoding Transcriptome in Developing Photoreceptors by Rod Differentiation Factor NRL.
Zelinger L; Karakülah G; Chaitankar V; Kim JW; Yang HJ; Brooks MJ; Swaroop A
Invest Ophthalmol Vis Sci; 2017 Sep; 58(11):4422-4435. PubMed ID: 28863214
[TBL] [Abstract][Full Text] [Related]
3. Transcriptional regulation of rod photoreceptor homeostasis revealed by in vivo NRL targetome analysis.
Hao H; Kim DS; Klocke B; Johnson KR; Cui K; Gotoh N; Zang C; Gregorski J; Gieser L; Peng W; Fann Y; Seifert M; Zhao K; Swaroop A
PLoS Genet; 2012; 8(4):e1002649. PubMed ID: 22511886
[TBL] [Abstract][Full Text] [Related]
4. RNA sequencing profiling of the retina in C57BL/6J and DBA/2J mice: Enhancing the retinal microarray data sets from GeneNetwork.
Wang J; Geisert EE; Struebing FL
Mol Vis; 2019; 25():345-358. PubMed ID: 31354228
[TBL] [Abstract][Full Text] [Related]
5. Comparative transcriptome analysis of epithelial and fiber cells in newborn mouse lenses with RNA sequencing.
Hoang TV; Kumar PK; Sutharzan S; Tsonis PA; Liang C; Robinson ML
Mol Vis; 2014; 20():1491-517. PubMed ID: 25489224
[TBL] [Abstract][Full Text] [Related]
6. Expression profiling of the developing and mature Nrl-/- mouse retina: identification of retinal disease candidates and transcriptional regulatory targets of Nrl.
Yoshida S; Mears AJ; Friedman JS; Carter T; He S; Oh E; Jing Y; Farjo R; Fleury G; Barlow C; Hero AO; Swaroop A
Hum Mol Genet; 2004 Jul; 13(14):1487-503. PubMed ID: 15163632
[TBL] [Abstract][Full Text] [Related]
7. NRL-Regulated Transcriptome Dynamics of Developing Rod Photoreceptors.
Kim JW; Yang HJ; Brooks MJ; Zelinger L; Karakülah G; Gotoh N; Boleda A; Gieser L; Giuste F; Whitaker DT; Walton A; Villasmil R; Barb JJ; Munson PJ; Kaya KD; Chaitankar V; Cogliati T; Swaroop A
Cell Rep; 2016 Nov; 17(9):2460-2473. PubMed ID: 27880916
[TBL] [Abstract][Full Text] [Related]
8. FDM: a graph-based statistical method to detect differential transcription using RNA-seq data.
Singh D; Orellana CF; Hu Y; Jones CD; Liu Y; Chiang DY; Liu J; Prins JF
Bioinformatics; 2011 Oct; 27(19):2633-40. PubMed ID: 21824971
[TBL] [Abstract][Full Text] [Related]
9. 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; 8(4):e61768. PubMed ID: 23630614
[TBL] [Abstract][Full Text] [Related]
10. Microarray analysis of retinal gene expression in Egr-1 knockout mice.
Schippert R; Schaeffel F; Feldkaemper MP
Mol Vis; 2009 Dec; 15():2720-39. PubMed ID: 20019881
[TBL] [Abstract][Full Text] [Related]
11. Express: A database of transcriptome profiles encompassing known and novel transcripts across multiple development stages in eye tissues.
Budak G; Dash S; Srivastava R; Lachke SA; Janga SC
Exp Eye Res; 2018 Mar; 168():57-68. PubMed ID: 29337142
[TBL] [Abstract][Full Text] [Related]
12. Retinal transcriptome profiling by directional next-generation sequencing using 100 ng of total RNA.
Brooks MJ; Rajasimha HK; Swaroop A
Methods Mol Biol; 2012; 884():319-34. PubMed ID: 22688717
[TBL] [Abstract][Full Text] [Related]
13. Altered expression of genes of the Bmp/Smad and Wnt/calcium signaling pathways in the cone-only Nrl-/- mouse retina, revealed by gene profiling using custom cDNA microarrays.
Yu J; He S; Friedman JS; Akimoto M; Ghosh D; Mears AJ; Hicks D; Swaroop A
J Biol Chem; 2004 Oct; 279(40):42211-20. PubMed ID: 15292180
[TBL] [Abstract][Full Text] [Related]
14. Evaluation and optimization of procedures for target labeling and hybridization of cDNA microarrays.
Yu J; Othman MI; Farjo R; Zareparsi S; MacNee SP; Yoshida S; Swaroop A
Mol Vis; 2002 Apr; 8():130-7. PubMed ID: 12011805
[TBL] [Abstract][Full Text] [Related]
15. Transcriptional profiling of endocrine cerebro-osteodysplasia using microarray and next-generation sequencing.
Lahiry P; Lee LJ; Frey BJ; Rupar CA; Siu VM; Blencowe BJ; Hegele RA
PLoS One; 2011; 6(9):e25400. PubMed ID: 21980446
[TBL] [Abstract][Full Text] [Related]
16. Gene expression and splicing alterations analyzed by high throughput RNA sequencing of chronic lymphocytic leukemia specimens.
Liao W; Jordaan G; Nham P; Phan RT; Pelegrini M; Sharma S
BMC Cancer; 2015 Oct; 15():714. PubMed ID: 26474785
[TBL] [Abstract][Full Text] [Related]
17. AtRTD - a comprehensive reference transcript dataset resource for accurate quantification of transcript-specific expression in Arabidopsis thaliana.
Zhang R; Calixto CP; Tzioutziou NA; James AB; Simpson CG; Guo W; Marquez Y; Kalyna M; Patro R; Eyras E; Barta A; Nimmo HG; Brown JW
New Phytol; 2015 Oct; 208(1):96-101. PubMed ID: 26111100
[TBL] [Abstract][Full Text] [Related]
18. 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; 6(3):e17820. PubMed ID: 21455293
[TBL] [Abstract][Full Text] [Related]
19. Full-length isoform concatenation sequencing to resolve cancer transcriptome complexity.
Wijeratne S; Gonzalez MEH; Roach K; Miller KE; Schieffer KM; Fitch JR; Leonard J; White P; Kelly BJ; Cottrell CE; Mardis ER; Wilson RK; Miller AR
BMC Genomics; 2024 Jan; 25(1):122. PubMed ID: 38287261
[TBL] [Abstract][Full Text] [Related]
20. SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis.
Johnson BK; Scholz MB; Teal TK; Abramovitch RB
BMC Bioinformatics; 2016 Feb; 17():66. PubMed ID: 26847232
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]