Isoform Sequencing Service(Iso-Seq), based on cutting-edge PacBio SMRT (Single Molecule, Real Time) technology, enables full-length reads being sequenced of entire transcript isoforms from 5’ UTR to 3’ polyadenylation without assembly required. Iso-seq is an ultra high-throughput method for characterizing gene fusion, alternative splicing and gene fusion events and improving annotations for genomes and discovery of novel transcripts by complementing for the potential error by the short reads.
In Medical Research
- Transcript annotation
- Fusion gene exploration
- Disease mechanism investigation
In Agricultural Research
- Functional study
- Fusion gene exploration
- Development and stress study;
- Collaboration for gene prediction and genome annotation
- Largest sequencing capacity: We have the largest Illumina and PacBio sequencing capacities in the world, allowing us to provide high quality data, fast turnaround, and affordable prices.
- Comprehensive data analysis: We use widely accepted mainstream software and mature in-house pipeline to discover novel transcripts, differential expressions, and function annotations.
|Library Type||Sample Type||Amount||RIN
|SMRTbell Library||Total RNA||≥ 5 μg (Concentration ≥ 300ng/μl)||≥ 9, with smooth baseline;
28S/18S ≥ 1.5
OD260/230: ≥ 1.8;
Note: For detailed information, please contact us.
Sequencing Parameter and Analysis
|Platform||PacBio Sequel system|
|Recommended Sequencing Depth||≥15 G bases pair per sample|
Standard Data Analysis
|For Species with Reference||For Species without Reference|
|Data Quality Control||Data Quality Control|
|Identification, clustering and correction of full-length transcripts||Identification, clustering and correction of full-length transcripts|
|Alternative Splicing Analysis||Simple Sequence Repeat (SSR) Analysis|
|Prediction and annotation of novel genes and novel trasnscripts||Functional annotation of transcripts|
|Fusion Transcript Analysis||Quantification and Differential Expression Analysis|
|Alternative Polyadenylation||Functional Enrichment Analysis|
|Quantification and Differential Expression Analysis|
|Functional Enrichment Analysis|
Note: Sequencing depths and bioinformatic analysis requests can be customized based on the project needs. Please contact us for more information.
Sample Quality Control
Library Quality Control
Data Qualtiy Control
Hybrid sequencing-based personal full-length transcriptomic analysis implicates proteostatic stress in metastatic ovarian cancer
Epithelial ovarian cancer (EOC) represents the most lethal gynecologic malignancy, and is hallmarked by early metastatic dissemination and pervasive genomic variations. In particular, largescale copy number alterations are predominant in EOC, leading to aberrant repertoire of transcribed elements and subsequent transcriptional addiction. Comprehensive molecular characterization of myriad somatic alterations and aberrant gene expressions at personal level is key to precision cancer therapy, yet limited by current short-read sequencing technology, individualized catalog of complete genomic and transcriptomic features is thus far elusive.
Fresh-frozen primary and metastatic tumors with paired normal tissue
1. Illumina Technology: sequenced on an Illumina Hiseq X Ten platform to generate 125 bp paired-end reads.
2. PacBio System: sequenced on a PacBio RS II small-molecule real-time (SMRT) sequencing platform by two SMRT cells.
This study integrated second- and third-generation sequencing platforms to generate a multidimensional dataset on a patient affected by metastatic epithelial ovarian cancer. Besides, it reveals clinical application of the emerging long-read full-length analysis for improving molecular diagnostics is feasible and informative. An in-depth understanding of the tumor transcriptome complexity allowed by leveraging the hybrid sequencing approach lays the basis to reveal novel and valid therapeutic vulnerabilities in advanced ovarian malignancies.
Self-Recognition of an Inducible Host lncRNA by RIG-I Feedback Restricts Innate Immune Response
Innate immune system can sense the invading pathogens via pattern recognition receptors (PRRs) to initiate efficient innate response for the elimination of the pathogens. As the most extensively studied PRR for recognition of RNA virus, retinoic acid-inducible gene-I (RIG-I) has been shown to recognize viral RNAs in the cytoplasm and trigger innate immune response through the production of type I interferons (IFNs) and proinflammatory cytokines. However, the biological significance and the underlying mechanisms for the interaction of lncRNAs with RBPs in the immunity and inflammation remain to be further investigated. The increasing evidence for the RBP-lncRNA interactions in association with protein functions inspired us to ask whether RIG-I can bind to ‘‘self’’ cellular lncRNAs, and if so, what is the biological function and importance of such self-recognition in maintaining immune homeostasis by feedback restricting or timely terminating RIG-I recognition of ‘‘non-self’’ RNA-induced innate inflammatory response.
2. Pacific Bioscience RS II platform
In this study, the full-length transcriptome sequencing was used to identify the full-length sequence of cytoplasmic lnc-Lsm3b, and a self-recognition model of lncRNA-RIG-I to inhibit RIG-I activation was found. This approach prevents overexpression of IFN-I to maintain the body’s immune homeostasis. lncRNA was identified as an important regulatory element for nucleic acid innate immune recognition and inflammation regulation, and it also revealed the key functions of lncRNA in anti-virus, providing new ideas for the study of prevention and treatment of inflammatory diseases.
A survey of the sorghum transcriptome using single-molecule long reads
Sorghum, a C4 crop plant used for food, feed, fibre and fuel, is one of the best-adapted cereals to drought and temperature; hence, used as a model system to investigate the molecular basis of adaptation to abiotic stresses. Although the genome sequence of several sorghum lines has been completed recently29,30, the transcriptome is not well annotated; the extent of alternative splicing (AS), the number of splice isoforms and transcriptome diversity due to alternative polyadenylation (APA) are largely unknown.
Sorghum (Sorghum bicolor L. Moench) seedlings under drought stress and control.
1. Illumina Platform: Hiseq
2. PacBio System: performed on a PacBio RS II instrument for a total of 28 SMRTcells.
In this study, full-length splice isoforms and APA sites of the sorghum transcriptome were sequenced and identified using Pacific Biosciences single-molecule real-time long-read isoform sequencing and developed a pipeline called TAPIS (Transcriptome Analysis Pipeline for Isoform Sequencing) to identify. The analysis results reveal transcriptome-wide full-length isoforms at an unprecedented scale and uncovered novel genes. These results greatly enhance sorghum gene annotations and aid in studying gene regulation in this important bioenergy crop.
Figure 1 Transcript Classification
Figure 2 Alternative Splicing (AS)
Figure 3 Alternative Ployadenylation (APA)
Figure 4 GO Enrichment
Figure 5 lncRNA Prediction
Figure 6 Transcription Factor