Comprehensive analysis of long noncoding RNA expression in dorsal root ganglion reveals cell-type specificity and dysregulation after nerve injury.
Comprehensive analysis of long noncoding RNA expression in dorsal root ganglion reveals cell-type specificity and dysregulation after nerve injury.
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DOI:
10.1097/j.pain.0000000000001416
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发表时间:
2019-03
期刊:
影响因子:
7.4
通讯作者:
Bennett DL
中科院分区:
文献类型:
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作者:
Baskozos G;Dawes JM;Austin JS;Antunes-Martins A;McDermott L;Clark AJ;Trendafilova T;Lees JG;McMahon SB;Mogil JS;Orengo C;Bennett DL
Supplemental Digital Content is Available in the Text. Novel and annotated LncRNAs showed marked transcriptional change during neuron differentiation and after nerve injury. Identified LncRNAs were antisense or adjacent to pain genes and ion channels. Dorsal root ganglion (DRG) neurons provide connectivity between peripheral tissues and the spinal cord. Transcriptional plasticity within DRG sensory neurons after peripheral nerve injury contributes to nerve repair but also leads to maladaptive plasticity, including the development of neuropathic pain. This study presents tissue and neuron-specific expression profiling of both known and novel long noncoding RNAs (LncRNAs) in the rodent DRG after nerve injury. We have identified a large number of novel LncRNAs expressed within the rodent DRG, a minority of which were syntenically conserved between the mouse, rat, and human, and including, both intergenic and antisense LncRNAs. We have also identified neuron type–specific LncRNAs in the mouse DRG and LncRNAs that are expressed in human IPS cell–derived sensory neurons. We show significant plasticity in LncRNA expression after nerve injury, which in mice is strain and gender dependent. This resource is publicly available and will aid future studies of DRG neuron identity and the transcriptional landscape in both the naive and injured DRG. We present our work regarding novel antisense and intergenic LncRNAs as an online searchable database, accessible from PainNetworks (http://www.painnetworks.org/). We have also integrated all annotated gene expression data in PainNetworks, so they can be examined in the context of their protein interactions.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
16.2
作者:
Dawes JM;Weir GA;Middleton SJ;Patel R;Chisholm KI;Pettingill P;Peck LJ;Sheridan J;Shakir A;Jacobson L;Gutierrez-Mecinas M;Galino J;Walcher J;Kühnemund J;Kuehn H;Sanna MD;Lang B;Clark AJ;Themistocleous AC;Iwagaki N;West SJ;Werynska K;Carroll L;Trendafilova T;Menassa DA;Giannoccaro MP;Coutinho E;Cervellini I;Tewari D;Buckley C;Leite MI;Wildner H;Zeilhofer HU;Peles E;Todd AJ;McMahon SB;Dickenson AH;Lewin GR;Vincent A;Bennett DL
通讯作者:
Bennett DL
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ
影响因子:
12.3
作者:
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者:
Zhang J
影响因子:
64.8
作者:
通讯作者:
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