Using advanced single-molecule sequencing technologies, such as Pacific Biosciences and Oxford Nanopore sequencing, CD BioGlyco provides the sequence-based transcript analysis service and other Glyco-transcriptomics Transcript Analysis Services. Our service delivers accurate and comprehensive annotation of glycoprotein and glycan-related transcript sequences. This service identifies transcription start and end sites (TSS and TES), alternative splicing (AS), and alternative polyadenylation (APA), offering detailed insights into glycosylation processes and glycan-related gene expression and regulation. By eliminating common sequencing errors and mapping inaccuracies, this approach improves the accuracy of glycoprotein transcript quantitation and all subsequent analysis steps, enabling an array of glycoinformatics research applications, such as identifying glycan responses to various environmental conditions and enhancing glycome annotations. Moreover, clients can search out our Glycoinformatics-assisted Glycan-related Transcriptomics Analysis Service for more services and information.
Fig.1 Schematic of the transcription initiation complex structure. (Basu, et al., 2014)
The workflow of our sequence-based transcript analysis service is given a detailed and sophisticated structure. We start with biological samples containing glycoproteins or antibody transcripts. We follow the extraction with standardized RNA isolation protocols to ensure purity and integrity. In the library preparation, isolated RNA is reverse transcribed by using the enzymes of reverse transcriptase and subsequently amplified to generate enough material for sequencing.
The process of data processing typically involves base calling transformation from raw sequencing data to nucleotide sequences, and quality control/filtering. Following assembly, transcripts are annotated and analyzed, including mapping to reference genomes or known glycoprotein databases, quantification of AS events, and detection of APA sites that can serve as regulatory mechanisms.
The next stage, interpretation, and validation, focuses on elucidating the biological significance of the identified transcripts and their variations. Finally, the reporting phase includes compiling the results into comprehensive reports that feature detailed annotations and visualizations. If you would like a more comprehensive analysis of your projects, please go to our Glycomics Analysis Service Section for more choices!
DOI: 10.1371/journal.ppat.1002342
Technology: RNA sequencing, sRNAs, Non-coding RNAs
Journal: PLoS pathogens
Published: 2011
IF: 5.5
Results: In this study, the whole transcriptome of Mycobacterium tuberculosis was analyzed using RNA sequencing, and a large number of non-coding RNAs were found, including long non-coding regions, antisense transcripts, and spacer RNAs (sRNAs). Non-coding RNAs accounted for more than a quarter of the total transcriptome, and the density of reads in non-coding regions was more than twice as high as in coding regions. Some of the sRNAs were more abundant in stationary phase cultures and accumulated to very high levels in the lungs of chronically infected mice, suggesting that they may play a role in pathogenicity. The results suggest that non-coding RNAs may be involved in the adaptation of Mycobacterium tuberculosis to the changing environment within the host and may play an important role in its pathogenicity and drug resistance.
By the advantages of sequence-based transcript analysis, CD BioGlyco provides researchers with powerful tools to explore gene expression landscapes, uncover molecular mechanisms, and drive innovation across various fields of study. Please do not hesitate to contact us for more information if you are interested in our services.
References
We envision a future where the intricate world of carbohydrate is no longer shrouded in mystery, but rather illuminated by the power of cutting-edge computational tools.