PFusionDB: a comprehensive database of plant-specific fusion transcripts

dc.contributor.authorArya, Ajay
dc.contributor.authorArora, Simran
dc.contributor.authorHamid, Fiza
dc.contributor.authorKumar, Shailesh
dc.date.accessioned2024-11-05T05:21:45Z
dc.date.available2024-11-05T05:21:45Z
dc.date.issued2024
dc.descriptionAccepted date: 20 October 2024en_US
dc.description.abstractFusion transcripts (FTs) are well known cancer biomarkers, relatively understudied in plants. Here, we developed PFusionDB (www.nipgr.ac.in/PFusionDB), a novel plant-specific fusion-transcript database. It is a comprehensive repository of 80,170, 39,108, 83,330, and 11,500 unique fusions detected in 1280, 637, 697, and 181 RNA-Seq samples of Arabidopsis thaliana, Oryza sativa japonica, Oryza sativa indica, and Cicer arietinum respectively. Here, a total of 76,599 (Arabidopsis thaliana), 35,480 (Oryza sativa japonica), 72,099 (Oryza sativa indica), and 9524 (Cicer arietinum) fusion transcripts are non-recurrent i.e., only found in one sample. Identification of FTs was performed by using a total of five tools viz. EricScript-Plants, STAR-Fusion, TrinityFusion, SQUID, and MapSplice. At PFusionDB, available fundamental details of fusion events includes the information of parental genes, junction sequence, expression levels of fusion transcripts, breakpoint coordinates, strand information, tissue type, treatment information, fusion type, PFusionDB ID, and Sequence Read Archive (SRA) ID. Further, two search modules: ‘Simple Search’ and ‘Advanced Search’, along with a ‘Browse’ option to data download, are present for the ease of users. Three distinct modules viz. ‘BLASTN’, ‘SW Align’, and ‘Mapping’ are also available for efficient query sequence mapping and alignment to FTs. PFusionDB serves as a crucial resource for delving into the intricate world of fusion transcript in plants, providing researchers with a foundation for further exploration and analysis. Database URL: www.nipgr.ac.in/PFusionDB.en_US
dc.description.sponsorshipThe authors are thankful to the Department of Biotechnology (DBT)-eLibrary Consortium, India, for providing access to e-resources. SA and FH are thankful to the University Grants Commission (UGC), India, and the Department of Biotechnology (DBT), India, respectively, for research fellowships. The authors acknowledge the Computational Biology & Bioinformatics Facility (CBBF) of the National Institute of Plant Genome Research (NIPGR). This research is supported by the BT/PR40146/BTIS/137/4/2020 project grant from the Department of Biotechnology (DBT), Government of India, and EEQ/2019/000231 Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India.en_US
dc.identifier.citation3 Biotech, 14(11): 282en_US
dc.identifier.issn2190-5738
dc.identifier.otherhttps://doi.org/10.1007/s13205-024-04132-1
dc.identifier.urihttps://link.springer.com/article/10.1007/s13205-024-04132-1
dc.identifier.urihttps://ndkr-library.nipgr.ac.in/handle/123456789/1660
dc.language.isoen_USen_US
dc.publisherSpringer Nature Publishing AGen_US
dc.subjectFusion transcriptsen_US
dc.subjectChimeric RNAsen_US
dc.subjectFusion toolsen_US
dc.subjectPlant databaseen_US
dc.subjectGenome regulationen_US
dc.titlePFusionDB: a comprehensive database of plant-specific fusion transcriptsen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Kumar Shai_2024_2.pdf
Size:
1.77 MB
Format:
Adobe Portable Document Format
Description: