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Lj6g3v0550640.2

Overview

Field Value
Gene ID Lj6g3v0550640
Transcript ID Lj6g3v0550640.2
Related isoforms 2
Lotus japonicus genome version MG20 v3.0
Description tRNA (cytosine-5-)-methyltransferase NSUN2 [Medicago truncatula] gi|357463293|ref|XP_003601928.1|
Working Lj name n.a.

Sequence information

Domain prediction

Data for domain prediction are obtained with InterProScan, and merged with InterPro data obtained from the EB-eye REST service.

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Domains

Sorting

Prediction algorithm Identifier Start End Length E-value InterPro ID
PANTHER 8 378 371 7.10E-225
PANTHER 8 378 371 7.10E-225
SUPERFAMILY 24 70 47 1.34E-47
ProSiteProfiles 39 387 349 41.465
SUPERFAMILY 97 353 257 1.34E-47
PRINTS 101 122 22 2.30E-09
Gene3D 137 359 223 3.50E-54
Pfam 144 330 187 7.50E-32
PRINTS 155 165 11 3.00E-15
ProSitePatterns 244 255 12
PRINTS 245 257 13 3.00E-15
PRINTS 295 311 17 3.00E-15
PRINTS 329 348 20 2.30E-09
PANTHER 422 434 13 7.10E-225
PANTHER 422 434 13 7.10E-225

Gene function (GO predictions)

GO predictions are based solely on the InterPro-to-GO mappings published by EMBL-EBI, which are in turn based on the mapping of predicted domains to the InterPro dataset. The InterPro-to-GO mapping was last updated on , while the GO metadata was last updated on .

GO term Namespace Name Definition Relationships
Molecular function RNA binding Interacting selectively and non-covalently with an RNA molecule or a portion thereof.
Molecular function Methyltransferase activity Catalysis of the transfer of a methyl group to an acceptor molecule.
Molecular function TRNA (cytosine-5-)-methyltransferase activity Catalysis of the reaction: S-adenosyl-L-methionine + tRNA = S-adenosyl-L-homocysteine + tRNA containing 5-methylcytosine.

Expression data

Expression pattern

Expression pattern of Lj6g3v0550640.2, powered by ExpAt. For advanced configuration, data transformation and export options, view expression data in the ExpAt application.

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Co-expressed genes

A list of the top 25 highly co-expressed genes of Lj6g3v0550640.2, powered by CORGI.

Loading co-expressed genes from the dataset ljgea-geneid. This will take 20–30 seconds to construct.