TransLnc

Welcome to TransLnc

Long non-coding RNAs (lncRNAs) not only are well known as “non-coding” elements, but also play diverse biological roles by functioning as coding RNAs. Functional peptides encoded by lncRNAs has drawn increasing attention from researchers due to their emerging important roles in fundamental cellular processes and diseases, which also is a rich potential resource for tumor neoantigen. Here, we developed a comprehensive database for translatable lncRNAs ( TransLnc) extends immunopeptidome. TransLnc provides both computationally predicted and experimentally supported lncRNA peptides in multiple species. Six kinds of direct and indirect experimental evidences were integrated to support the coding potential of lncRNAs and peptides, including manually curation, the occupancy of ribosomes, lncORF, IRES, m6A and mass spectrometric proofs. TransLnc also provides several interactive tools to highlight the tissue specificity of peptides and lncRNAs, computationally predicted novel neoantigens, cross-species conservation, and clinical relevance across cancer types. Particularly, an analysis tool of BLAST alignment was developed for finding the best matched lncRNAs of the user queried sequences.

The current version of TransLnc contains a total of 583,840 computationally predicted peptides for 33,094 translatable lncRNAs across three different species (Human, Mouse, Rat), 381,105 experimentally verified lncRNA peptides across 34 tissues, and 391,418 candidate neoantigens.

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