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Chakraborty, S.

Publications and source records attributed to Chakraborty, S..

237 records · Page 14Linked to original sources

MCF-7 breast cancer cell line PacBio generated transcriptome has ~300 novel transcribed regions, un-annotated in both RefSeq and GENCODE, and absent in the liver, heart and brain transcriptomes

Illuminating the dark regions of the human genome remains an ongoing effort, a decade and a half after the human genome was sequenced - RefSeq and GENCODE being two of the major annotation databases. Pacific Biosciences (PacBio) has provided open access to the transcriptome of MCF-7, a breast cancer cell line that has provided significant therapeutic advancement in breast cancer research since the 1970s. PacBio sequencing generates much longer reads compared to second-generation sequencing technologies, with a trade-off of lower throughput, higher error rate and more cost per base. Here, this transcriptome was analyzed using the YeATS pipeline, with additionally introduced kmer based algorithms, reducing computational times to a few hours on a simple workstation. Out of ~300 transcripts that have no match in both RefSeq and GENCODE, ~250 are absent in the transcriptomes of the heart, liver and brain, also provided by PacBio. Also, ~200 transcripts are absent in a recent catalogue of un-annotated long non-coding RNAs from 6,503 samples (~43 Terabases of sequence data) [1], and among 2,556 novel transcripts reported in an experimental workflow RACE-Seq [2]. 65 transcripts have >100 amino acid open reading frames, and have the potential of being protein coding genes. ORF based annotation also identified few bacterial transcripts in the PacBio database mapped to the human genome, and one human transcript that has been annotated as bacterial in the NCBI database. The current work reiterates the under-utilization of transcriptomes for annotating genomes. It also provides new leads for investigating breast cancer by virtue of exclusively expressed transcripts not expressed in other tissues, which have the prospects of breast cancer biomarkers based on further investigations.

genomics↗

YeATSAM analysis of the chloroplast genome of walnut reveals several putative un-annotated genes and mis-annotation of the trans-spliced rps12 gene in other organisms

An open reading frame (ORF) is genomic sequence that can be translated into amino acids, and does not contain any stop codon. Previously, YeATSAM analyzed ORFs from the RNA-seq derived transcriptome of walnut, and revealed several genes that were not annotated by widely-used methods. Here, a similar ORF-based method is applied to the chloroplast genome from walnut (Accid:KT963008). This revealed, in addition to the ~84 protein coding genes, ~100 additional putative protein coding genes with homology to RefSeq proteins. Some of these genes have corresponding transcripts in the previously derived transcriptome from twenty different tissues, establishing these as bona fide genes. Other genes have introns, and need to be manually annotated. Importantly, this analysis revealed the mis-annotation of the rps12 gene in several organisms which have used an automated annotation flow. This gene has three exons - exon1 is ~28kbp away from exon2 and exon3 - and is assembled by trans-splicing. Automated annotation tools are more likely to select an ORF closer to exon2 to complete a possible protein, and are unlikely to properly annotate trans-spliced genes. A database of trans-spliced genes would greatly benefit annotations. Thus, the current work continues previous work establishing the proper identification of ORFs as a simple and important step in many applications, and the requirement of validation of annotations.

genomics↗

Unifying the two different classes of plant non-specific lipid-transfer proteins allergens classified in the WHO/IUIS allergen database through a motif with conserved sequence, structural and electrostatic features

The ubiquitously occuring non-specific lipid-transfer proteins (nsLTPs) in plants are implicated in key processes like biotic and abiotic stress, seed development and lipid transport. Additionally, they constitute a panallergen multigene family present in both food and pollen. Presently there are 49 nsLTP entries in the WHO/IUIS allergen database (http://allergen.org/). Analysis of full-length allergens identified only two major classes (nsLTP1,n=32 and nsLTP2,n=2), although nsLTPs are classified into many other groups. nsLTP1 and nsLTP2 are differentiated by their sequences, molecular weights, pattern of the conserved disulphide bonds and volume of the hydrophobic cavity. The conserved R44 is present in all full length nsLTP1 allergens (only Par j 2 from Parietaria judaica has K44), while D43 is present in all but Par j 1/2 from P. judaica (residue numbering based on PDBid:2ALGA). Although, the importance of these residues is well-established in nsLTP1, the corresponding residues in nsLTP2 remain unknown. A structural motif comprising of two cysteines with a disulphide bond (C3-C50), R44 and D43 identified a congruent motif (C3/C35/R47/D42) in a nsLTP2 protein from rice (PDBid:1L6HA), using the CLASP methodology. This also provides a quantitative method to assess the cross-reactivity potential of different proteins through congruence of an epitope and its neighbouring residues. Future work will involve obtaining the PDB structure of an nsLTP2 allergen and Par j 1/2 nsLTP1 sequences with a missing D43, determine whether nsLTP from other groups beside nsLTP1/2 are allergens, and determine nsLTP allergens from other plants commonly responsible for causing allergic reactions (chickpea, walnut, etc.) based on a genome wide identification of genes with conserved allergen features and their in vitro characterization.

immunology↗