168 related articles for article (PubMed ID: 34828324)
21. High Throughput Sequencing-Based Approaches for Gene Expression Analysis.
Reddy RRS; Ramanujam MV
Methods Mol Biol; 2018; 1783():299-323. PubMed ID: 29767369
[TBL] [Abstract][Full Text] [Related]
22. A quantitative transcriptomic analysis of the physiological significance of mTOR signaling in goat fetal fibroblasts.
Fu Y; Zheng X; Jia X; Binderiya U; Wang Y; Bao W; Bao L; Zhao K; Fu Y; Hao H; Wang Z
BMC Genomics; 2016 Nov; 17(1):879. PubMed ID: 27821074
[TBL] [Abstract][Full Text] [Related]
23. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor.
Anders S; McCarthy DJ; Chen Y; Okoniewski M; Smyth GK; Huber W; Robinson MD
Nat Protoc; 2013 Sep; 8(9):1765-86. PubMed ID: 23975260
[TBL] [Abstract][Full Text] [Related]
24. RNA-seq transcriptome analysis of extensor digitorum longus and soleus muscles in large white pigs.
Zhu J; Shi X; Lu H; Xia B; Li Y; Li X; Zhang Q; Yang G
Mol Genet Genomics; 2016 Apr; 291(2):687-701. PubMed ID: 26520103
[TBL] [Abstract][Full Text] [Related]
25. Systematic-analysis of mRNA expression profiles in skeletal muscle of patients with type II diabetes: The glucocorticoid was central in pathogenesis.
Shao K; Shen LS; Li HH; Huang S; Zhang Y
J Cell Physiol; 2018 May; 233(5):4068-4076. PubMed ID: 28885689
[TBL] [Abstract][Full Text] [Related]
26. Global transcriptional profiling of longissimus thoracis muscle tissue in fetal and juvenile domestic goat using RNA sequencing.
Wang YH; Zhang CL; Plath M; Fang XT; Lan XY; Zhou Y; Chen H
Anim Genet; 2015 Dec; 46(6):655-65. PubMed ID: 26364974
[TBL] [Abstract][Full Text] [Related]
27. The miRNA expression profile directly reflects the energy metabolic differences between slow and fast muscle with nutritional regulation of the Chinese perch (Siniperca chuatsi).
Wu P; Chen L; Cheng J; Pan Y; Zhu X; Bao L; Chu W; Zhang J
Comp Biochem Physiol A Mol Integr Physiol; 2021 Sep; 259():111003. PubMed ID: 34118407
[TBL] [Abstract][Full Text] [Related]
28. aFold - using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data.
Yang W; Rosenstiel P; Schulenburg H
BMC Genomics; 2019 May; 20(1):364. PubMed ID: 31077153
[TBL] [Abstract][Full Text] [Related]
29. Skeletal Muscle Transcriptome Analysis of Hanzhong Ma Duck at Different Growth Stages Using RNA-Seq.
Hu Z; Cao J; Zhang J; Ge L; Zhang H; Liu X
Biomolecules; 2021 Feb; 11(2):. PubMed ID: 33669581
[TBL] [Abstract][Full Text] [Related]
30. Micro-RNA Quantification, Target Gene Identification, and Pathway Analysis.
Sales G; Calura E
Methods Mol Biol; 2021; 2284():207-229. PubMed ID: 33835445
[TBL] [Abstract][Full Text] [Related]
31. AS160 regulates insulin- and contraction-stimulated glucose uptake in mouse skeletal muscle.
Kramer HF; Witczak CA; Taylor EB; Fujii N; Hirshman MF; Goodyear LJ
J Biol Chem; 2006 Oct; 281(42):31478-85. PubMed ID: 16935857
[TBL] [Abstract][Full Text] [Related]
32. Intracellular calcium leak lowers glucose storage in human muscle, promoting hyperglycemia and diabetes.
Tammineni ER; Kraeva N; Figueroa L; Manno C; Ibarra CA; Klip A; Riazi S; Rios E
Elife; 2020 May; 9():. PubMed ID: 32364497
[TBL] [Abstract][Full Text] [Related]
33. Transcriptomic analyses reveal rhythmic and CLOCK-driven pathways in human skeletal muscle.
Perrin L; Loizides-Mangold U; Chanon S; Gobet C; Hulo N; Isenegger L; Weger BD; Migliavacca E; Charpagne A; Betts JA; Walhin JP; Templeman I; Stokes K; Thompson D; Tsintzas K; Robert M; Howald C; Riezman H; Feige JN; Karagounis LG; Johnston JD; Dermitzakis ET; Gachon F; Lefai E; Dibner C
Elife; 2018 Apr; 7():. PubMed ID: 29658882
[TBL] [Abstract][Full Text] [Related]
34. RNA-sequencing reveals altered skeletal muscle contraction, E3 ligases, autophagy, apoptosis, and chaperone expression in patients with critical illness myopathy.
Llano-Diez M; Fury W; Okamoto H; Bai Y; Gromada J; Larsson L
Skelet Muscle; 2019 Apr; 9(1):9. PubMed ID: 30992050
[TBL] [Abstract][Full Text] [Related]
35. Transcript Profiling Using Long-Read Sequencing Technologies.
Bayega A; Wang YC; Oikonomopoulos S; Djambazian H; Fahiminiya S; Ragoussis J
Methods Mol Biol; 2018; 1783():121-147. PubMed ID: 29767360
[TBL] [Abstract][Full Text] [Related]
36. Detection of chromosomal regions showing differential gene expression in human skeletal muscle and in alveolar rhabdomyosarcoma.
Bisognin A; Bortoluzzi S; Danieli GA
BMC Bioinformatics; 2004 Jun; 5():68. PubMed ID: 15176974
[TBL] [Abstract][Full Text] [Related]
37. Novel software package for cross-platform transcriptome analysis (CPTRA).
Zhou X; Su Z; Sammons RD; Peng Y; Tranel PJ; Stewart CN; Yuan JS
BMC Bioinformatics; 2009 Oct; 10 Suppl 11(Suppl 11):S16. PubMed ID: 19811681
[TBL] [Abstract][Full Text] [Related]
38. Trend analysis of the role of circular RNA in goat skeletal muscle development.
Ling Y; Zheng Q; Zhu L; Xu L; Sui M; Zhang Y; Liu Y; Fang F; Chu M; Ma Y; Zhang X
BMC Genomics; 2020 Mar; 21(1):220. PubMed ID: 32151242
[TBL] [Abstract][Full Text] [Related]
39. A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments.
Esnaola M; Puig P; Gonzalez D; Castelo R; Gonzalez JR
BMC Bioinformatics; 2013 Aug; 14():254. PubMed ID: 23965047
[TBL] [Abstract][Full Text] [Related]
40. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]