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.
Start
