87 related articles for article (PubMed ID: 26385323)
1. Determination of the precise sequences of computationally predicted miRNAs in Citrus reticulata by miR-RACE and characterization of the related target genes using RLM-RACE.
Leng X; Song C; Han J; Shangguan L; Fang J; Wang C
Gene; 2016 Jan; 575(2 Pt 2):498-505. PubMed ID: 26385323
[TBL] [Abstract][Full Text] [Related]
2. Characterization of regulatory mechanism of Poncirus trifoliata microRNAs on their target genes with an integrated strategy of newly developed PPM-RACE and RLM-RACE.
Shangguan L; Song C; Han J; Leng X; Kibet KN; Mu Q; Kayesh E; Fang J
Gene; 2014 Feb; 535(1):42-52. PubMed ID: 24275346
[TBL] [Abstract][Full Text] [Related]
3. Validation and characterization of Citrus sinensis microRNAs and their target genes.
Song C; Yu M; Han J; Wang C; Liu H; Zhang Y; Fang J
BMC Res Notes; 2012 May; 5():235. PubMed ID: 22583737
[TBL] [Abstract][Full Text] [Related]
4. Computational identification of citrus microRNAs and target analysis in citrus expressed sequence tags.
Song C; Jia Q; Fang J; Li F; Wang C; Zhang Z
Plant Biol (Stuttg); 2010 Nov; 12(6):927-34. PubMed ID: 21040308
[TBL] [Abstract][Full Text] [Related]
5. RLM-RACE, PPM-RACE, and qRT-PCR: an integrated strategy to accurately validate miRNA target genes.
Wang C; Fang J
Methods Mol Biol; 2015; 1296():175-86. PubMed ID: 25791600
[TBL] [Abstract][Full Text] [Related]
6. Characterization of target mRNAs for grapevine microRNAs with an integrated strategy of modified RLM-RACE, newly developed PPM-RACE and qPCRs.
Wang C; Han J; Korir NK; Wang X; Liu H; Li X; Leng X; Fang J
J Plant Physiol; 2013 Jul; 170(10):943-57. PubMed ID: 23582890
[TBL] [Abstract][Full Text] [Related]
7. Computational identification of microRNAs in apple expressed sequence tags and validation of their precise sequences by miR-RACE.
Yu H; Song C; Jia Q; Wang C; Li F; Nicholas KK; Zhang X; Fang J
Physiol Plant; 2011 Jan; 141(1):56-70. PubMed ID: 20875055
[TBL] [Abstract][Full Text] [Related]
8. Computational identification of microRNAs in the strawberry (Fragaria x ananassa) genome sequence and validation of their precise sequences by miR-RACE.
Han J; Li A; Liu H; Wen X; Zhao M; Korir NB; Korir NK; Wang C; Fang J
Gene; 2014 Feb; 536(1):151-62. PubMed ID: 24333854
[TBL] [Abstract][Full Text] [Related]
9. In Silico Identification and Validation of Potential microRNAs in Kinnow Mandarin (Citrus reticulata Blanco).
Mohanpuria P; Duhan N; Sarao NK; Kaur M; Kaur M
Interdiscip Sci; 2018 Dec; 10(4):762-770. PubMed ID: 28534166
[TBL] [Abstract][Full Text] [Related]
10. A method for validating microRNAs in plants by miR-RACE.
Fang J; Sun X
Methods Mol Biol; 2015; 1287():139-45. PubMed ID: 25740362
[TBL] [Abstract][Full Text] [Related]
11. miR-RACE: an effective approach to accurately determine the sequence of computationally identified miRNAs.
Wang C; Fang J
Methods Mol Biol; 2015; 1296():109-18. PubMed ID: 25791595
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics prediction of miRNAs in the Prunus persica genome with validation of their precise sequences by miR-RACE.
Zhang Y; Bai Y; Han J; Chen M; Kayesh E; Jiang W; Fang J
J Plant Physiol; 2013 Jan; 170(1):80-92. PubMed ID: 23107282
[TBL] [Abstract][Full Text] [Related]
13. Genome-wide analysis reveals dynamic changes in expression of microRNAs during vascular cambium development in Chinese fir, Cunninghamia lanceolata.
Qiu Z; Li X; Zhao Y; Zhang M; Wan Y; Cao D; Lu S; Lin J
J Exp Bot; 2015 Jun; 66(11):3041-54. PubMed ID: 25795740
[TBL] [Abstract][Full Text] [Related]
14. MiR-RACE, a new efficient approach to determine the precise sequences of computationally identified trifoliate orange (Poncirus trifoliata) microRNAs.
Song C; Fang J; Wang C; Guo L; Nicholas KK; Ma Z
PLoS One; 2010 Jun; 5(6):e10861. PubMed ID: 20539756
[TBL] [Abstract][Full Text] [Related]
15. Identification of protoplast-isolation responsive microRNAs in Citrus reticulata Blanco by high-throughput sequencing.
Xu X; Xu X; Zhou Y; Zeng S; Kong W
PLoS One; 2017; 12(8):e0183524. PubMed ID: 28829800
[TBL] [Abstract][Full Text] [Related]
16. Target validation of plant microRNAs.
Llave C; Franco-Zorrilla JM; Solano R; Barajas D
Methods Mol Biol; 2011; 732():187-208. PubMed ID: 21431714
[TBL] [Abstract][Full Text] [Related]
17. High-throughput sequencing and degradome analysis reveal altered expression of miRNAs and their targets in a male-sterile cybrid pummelo (Citrus grandis).
Fang YN; Zheng BB; Wang L; Yang W; Wu XM; Xu Q; Guo WW
BMC Genomics; 2016 Aug; 17():591. PubMed ID: 27506907
[TBL] [Abstract][Full Text] [Related]
18. Characterization of microRNAs identified in a table grapevine cultivar with validation of computationally predicted grapevine miRNAs by miR-RACE.
Wang C; Shangguan L; Kibet KN; Wang X; Han J; Song C; Fang J
PLoS One; 2011; 6(7):e21259. PubMed ID: 21829435
[TBL] [Abstract][Full Text] [Related]
19. Genome-wide identification and characterization of microRNAs by small RNA sequencing for low nitrogen stress in potato.
Tiwari JK; Buckseth T; Zinta R; Saraswati A; Singh RK; Rawat S; Chakrabarti SK
PLoS One; 2020; 15(5):e0233076. PubMed ID: 32428011
[TBL] [Abstract][Full Text] [Related]
20. Boron-deficiency-responsive microRNAs and their targets in Citrus sinensis leaves.
Lu YB; Qi YP; Yang LT; Guo P; Li Y; Chen LS
BMC Plant Biol; 2015 Nov; 15():271. PubMed ID: 26538180
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
