GGRNA ver.2 Home | Help | Advanced search    Previous release (v1)

2026-04-24 19:47:18, GGRNA.v2 : RefSeq release 233 (Jan, 2026)

LOCUS       XR_004402644            3615 bp    RNA     linear   VRT 08-AUG-2025
DEFINITION  PREDICTED: Petromyzon marinus vimentin (VIM), transcript variant
            X2, misc_RNA.
ACCESSION   XR_004402644
VERSION     XR_004402644.2
DBLINK      BioProject: PRJNA1269050
KEYWORDS    RefSeq.
SOURCE      Petromyzon marinus (sea lamprey)
  ORGANISM  Petromyzon marinus
            Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Cyclostomata;
            Hyperoartia; Petromyzontiformes; Petromyzontidae; Petromyzon.
COMMENT     MODEL REFSEQ:  This record is predicted by automated computational
            analysis. This record is derived from a genomic sequence
            (NC_133676) annotated using gene prediction method: Gnomon,
            supported by EST evidence.
            Also see:
                Documentation of NCBI's Annotation Process
            
            On Aug 8, 2025 this sequence version replaced XR_004402644.1.
            
            ##Genome-Annotation-Data-START##
            Annotation Provider         :: NCBI RefSeq
            Annotation Status           :: Full annotation
            Annotation Name             :: GCF_048934315.1-RS_2025_08
            Annotation Pipeline         :: NCBI eukaryotic genome annotation
                                           pipeline
            Annotation Software Version :: 10.4
            Annotation Method           :: Gnomon; cmsearch; tRNAscan-SE
            Features Annotated          :: Gene; mRNA; CDS; ncRNA
            Annotation Date             :: 08/04/2025
            ##Genome-Annotation-Data-END##
FEATURES             Location/Qualifiers
     source          1..3615
                     /organism="Petromyzon marinus"
                     /mol_type="transcribed RNA"
                     /isolate="PM22_M1"
                     /db_xref="taxon:7757"
                     /chromosome="10"
                     /sex="male"
                     /tissue_type="testes"
                     /dev_stage="adult"
                     /ecotype="Great Lakes invasive population"
                     /geo_loc_name="USA: Great Lakes"
                     /collection_date="2022-08"
                     /collected_by="Jeramiah Smith"
     gene            1..3615
                     /gene="VIM"
                     /note="vimentin; Derived by automated computational
                     analysis using gene prediction method: Gnomon. Supporting
                     evidence includes similarity to: 2 ESTs, 11 Proteins, and
                     100% coverage of the annotated genomic feature by RNAseq
                     alignments, including 94 samples with support for all
                     annotated introns"
                     /db_xref="GeneID:116941127"
     misc_RNA        1..3615
                     /gene="VIM"
                     /product="vimentin, transcript variant X2"
                     /experiment="COORDINATES: polyA evidence [ECO:0006239]"
                     /db_xref="GeneID:116941127"
ORIGIN      
aaccgagggggctctctggacgctcggctccacctcgctcgtctcatccgcctcgtccacctcgtccatctcctccgcagccatgggctcgcagcgcgtatcgtcgtaccgccgcacgttcggcacaggcagcgcctacagcccccgctcgctgtcgtcgcgctcctacgcgggcagcagcagcagcgtcgtgcgctcctcgcgatccatggccctgggcagcagtggcagcgtggcctcctccctgtacggccgctcctacgttaaggccatgcccggccagagcgtggacttctcgctggccgaggcgctcaacgccgactaccgcacgacgcgcaccaacgagaaggtggagctgcaggagctcaacgaccgctttgccaactacatcgataaggtgcgctacctggagcagcagaacaaggcgctgctggccgagctggcgctgctcaagggccgagagccaacccgggtcgggcccctctacgaacaagagctgcgggagctgcgagcgcaggtggagcggctcacgggcgagaaggctcgcggagacgtggagagggccaaccttctggacgagttgcagcgactgcagcagaggcttcaggaggagaccgctgctcgcgaagaagctgagaagaacctgcaggccttccgccaagacgtggacgatgccacgctggcacgcgtggacctggagcggaaggtcgagtctctgcaggaggagatcgcgttcctgaaaaagattcacgatgaggagctgcgggaggtgcaggtgcaggtgcaggagcagacggtgcacgtggagtacgacgtgggaaccaaacccgacctcaccgccgccctgcgcgacatccgcgccgagtacgagggcatcgcggccaagaacgtggcggaggcagaggagtggtacaagtccaagtttctggatctgagcgaggcagccgtgcgcaacaacgaggctctgcgcgccgccaagcaggagctgatggactaccgccgccaagtccaggcgcagcagtgcgacatcgactccctcaagggcgccaatgagtcgctggagcgccagatccgagagatggaggagcgtttcagcgtggagtcggccaattaccaggacacgatcacgcgcctagaggacgacatcgggaacctcaaggacgagatggcgcgccatctgcgcgactaccaggagctgctgcacgtcaagatggctctggacatcgagatcgccacctaccgcaagctgttggagggagaggaaaccagagtccaacccatcccatgacgtgtacagcaagaagactgtgctcatcaagacgattgagacgcgcgatggcgaggtgatcaccgaatccaccaagaaggagcacatctaaagaagtgaaattccagccagcgagcattctcccatccccacacctcgtagccactattaaacctccatccacaccattgtcatgcgcaacagttctcacgcgttattttagtaatgtctgtgcaaatttaacacgtaccaggttttttacagccaatattatgatgattcgtaaatgattgtttgggtgtggccacgtaaatatctgaccaaatttgtgtagttaagaccctcccatcatccgacacggccaaacaaatgaaactgttgcgtgtacaagcgtttaacaacgctccaattagaagcgtttcagctcactggtgagtttaagaattctcgcaaccaacataatcaagaaaatccaggaataaaatcaaggcaacatttctgctttatggagtgttctatagatgattggcgcaatttcaccgtggttgcaagacttcttctttaactgactggcgagctcacggaatatttggtgtgtgttaagcgcttatacacgtgacaattggatttctttggctatgtttggtggtggaggttgtgcaaatgttgtgctttttggttctggtattgtaatatttccttaaagcatgctcatatgttagttcaacctgttaggccagacttgcagcttggggaggccttgatctagcagtggattgattatggctgacgatgatgaagccagacaggtgatgctatccgatatgagggctctagtcactacatacctggtggctgctccagtacccagccactctgagaccagttgccgagcacaaggcgcaaaaggcccaatacaccaagcggccatgcaacaaacatcaccgtcagaattgtaatagataagagttaacacgtgtcttgattagggcaaggttatcataggagcgtgggacaacagacaatgggagggaattccaacgtggagtggtgcgagggaagatgcaggaagagaaggattgtgacttacagcgtggtggttgaacataacgttcatgagaggaaacaaatcacgtgttgccatttctgcagaaccgttgttacgatgcttaattgcttgacatctgtctgcaattgctgtgacctcgtgaattgtgtacatggtgatgcacacgtgatatgatatgtagagatatgatgtgtaaagaaaccgaacgatcttatatatataaaaaaaaatcaaaaatatgcctccatacatctgtccctcctccacattagaagggccagagagctaaaggtattttattttatattatgatacctcttttgccagaaacaagatataggaataggttttacccttttaactggcacaaaaactgacacctttattcaaggcatcatgtttgcaataaccacaacacaagcattttgactgcttgtgttgtggttattgcaaacatgatgccttgaataaaggtgtcagttttttgtgccagttaaaagggtaaaacctattcctatagctaaaggtatgtttcacacatgtattcaagatttcggtaatgcataattcctgcgaatttgattcgacacaagcaacactccggacgagttttgacattcagtgtttaataagcatttaggcttacttggatcaatatgggtgacctgccagatgtttatagaggtcatccgactgcgttggataggagtcctcgttcaacacagaagtatacgtggaggcaagcctgtctcatcggcagtgaggcttgcttgaagaccgtgtgactggagagacatgtactgtgtgtggaggcgaattttatgttcagttatattctcaacaaggacgctaatgatcggtggtatagatcatgataattgtatgacggcagcacgggaagagcttagacgagtcgagatagtcgaccacttagaatcaactgcttttaatatttgtatccaagtgtgaccaacagagccagtcgggcactgtgtgtgacctcatacaggaggtacacttggctggctattctgattgcaaagcggactggcatctgggctcgaagccagctgcctccggcctgtacgctcacaagttggctaatgcctggtgcctgtagcgtgtagaggagtggcaatggggctgctcatggtcagtggaacagaggcagatggggcgcagtagtgacgcggcgcgtgcttaaaccctgagagccatttgtgataacatactttataatattataggtgtcgttactattaataaagtgatcacttta
//

by @meso_cacase at DBCLS
This page is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

If you use GGRNA in your work, please cite:
Naito Y, Bono H. (2012)
GGRNA: an ultrafast, transcript-oriented search engine for genes and transcripts.
Nucleic Acids Res., 40, W592-W596. [Full Text]