RNA Sequencing Services www.lcsciences.com 1-888-528-8818 microRNA / Small RNA Sequencing Service Next-gen sequencing is a new method and powerful tool used to identify and quantitatively decode the entire population of small RNAs in your total RNA sample. LC Sciences provides a comprehensive sequencing service utilizing Illumina’s high -throughput sequencing technology which enables comprehensive, highly sensitive and specific discovery and profiling of all forms of small RNAs in your sample. Single-Cell RNA-Seq Service Single-cell RNA-Seq can be used to examine the expression of individual cells and provides a higher resolution of cellular differences as compared to traditional RNA-Seq. Single-cell RNA-Seq enables us to understand the function of an individual cell in the context of its microenvironment. Start with as little as 10 pg-10 ng of total RNA. Digital Gene Expression (mRNA) Sequencing Service The DGE service offered by LC Sciences makes use of RNA Sequencing technology to “count” each individual transcript, offering distinct advantages over semi- quantitative array-based gene-expression analysis systems which rely on signal intensities. As an alternative to expression arrays, DGE provides a cost effective basic differential expression analysis of known genes via the latest next-gen sequencing technology. Poly(A) RNA-Seq / Total RNA-Seq Sequencing Services In addition to expression quantification, RNA-Seq technology can be used to determine the structure of genes, their splicing patterns or other post transcriptional modifications, and to detect rare and novel transcripts. Total RNA-Seq enables the sequencing of both poly(A) and non-poly(A) RNAs, such as long non -coding RNA (lncRNA), via a ribosomal depletion library preparation strategy. LC Sciences provides a turnkey solution for transcriptome sequencing featuring the latest in RNA-Seq technology.
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RNA Sequencing Services
www.lcsciences.com 1-888-528-8818
microRNA / Small RNA Sequencing Service
Next-gen sequencing is a new method and powerful tool
used to identify and quantitatively decode the entire
population of small RNAs in your total RNA sample. LC
Sciences provides a comprehensive sequencing service
utilizing Illumina’s high-throughput sequencing
technology which enables comprehensive, highly
sensitive and specific discovery and profiling of all forms
of small RNAs in your sample.
Single-Cell RNA-Seq Service
Single-cell RNA-Seq can be used to examine the
expression of individual cells and provides a higher
resolution of cellular differences as compared to
traditional RNA-Seq. Single-cell RNA-Seq enables us to
understand the function of an individual cell in the
context of its microenvironment. Start with as little as
10 pg-10 ng of total RNA.
Digital Gene Expression (mRNA) Sequencing Service
The DGE service offered by LC Sciences makes use of
RNA Sequencing technology to “count” each individual
transcript, offering distinct advantages over semi-
quantitative array-based gene-expression analysis
systems which rely on signal intensities. As an
alternative to expression arrays, DGE provides a cost
effective basic differential expression analysis of known
genes via the latest next-gen sequencing technology.
Poly(A) RNA-Seq / Total RNA-Seq Sequencing Services
In addition to expression quantification, RNA-Seq
technology can be used to determine the structure of
genes, their splicing patterns or other post
transcriptional modifications, and to detect rare and
novel transcripts. Total RNA-Seq enables the sequencing
of both poly(A) and non-poly(A) RNAs, such as long non
-coding RNA (lncRNA), via a ribosomal depletion library
preparation strategy. LC Sciences provides a turnkey
solution for transcriptome sequencing featuring the
Key Advantages of RNA Sequencing RNA Sequencing provides a more comprehensive view of the transcriptome. RNA Sequencing enables us to sequence and profile all
species of transcripts in your total RNA samples - from mRNA to non-coding RNAs to small RNAs.
RNA Sequencing is not necessarily dependent on any prior sequence knowledge. There is no need for the design of probes that
must be based on prior sequence or secondary structure information. Therefore, transcriptome profiling in any species is possible, making this
method particularly attractive for non-model species. Additionally, RNA Sequencing data can be used to build de novo gene models.
RNA Sequencing has increased dynamic range and sensitivity. RNA Sequencing enables you to achieve “digital” transcript expression
analysis meaning that expression level data are based on each individual transcript that is sequenced and counted. By increasing the
sequencing depth, a potentially unlimited dynamic range can be reached making RNA Sequencing an ideal tool for detection rare transcripts.
RNA Sequencing provides information of sequence variation in transcripts. RNA-Seq yields a rich data set that includes information
about post transcriptional mutations and their genomic context. Because RNA-Seq data yields information about how exons are connected, it
can reveal sequence variations in the transcripts due to alternative splicing events and provide allele-specific or isoform-specific gene
expression information. Additionally, RNA-Seq data is useful for gene mapping functions such as describing the length of UTRs and exon
boundaries.
Turnkey Solution These comprehensive services are designed to be one-stop and
produce the results needed to quickly advance your biological and
biomedical research. For all types of RNA sequencing, our “Total RNA
to Data” services include: sample prep/QC, library preparation, RNA
sequencing, bioinformatics analysis, and high-level customer support.
Expert Services LC Sciences has been providing RNA discovery, profiling and related
bioinformatics services since 2005 and our experts have examined
thousands of varied RNA datasets, giving us unique insight into RNA
research. We don’t merely deliver data; we will handle all the advanced
bioinformatics analysis and help you find answers to the questions
you’re asking.
Deep Sequencing
Advanced Data Analysis
Library Preparation
microRNA Sequencing Service
60-03F-03
Group 1
Known Pig
miRNAs
Others
Group 2
Known miRNAs
Candidate pig miRNAs
Group 3
Candidate pig miRNAs
genome inconsistent
with miRBase
Group 4
Potentially
novel miRNAs
No Hit
RNA Sequencing provides an excellent tool for discovery of novel microRNAs (miRNAs) as well as genome-wide profiling of small RNA and
miRNA expression in various samples. LC Sciences provides a discovery sequencing service utilizing the Illumina high-throughput sequencing
technology which enables comprehensive coverage, highly sensitive and specific discovery and profiling of all forms of small RNAs in your
sample.
Profile miRNA in any species - there is no need for probes based on prior sequence or secondary structure information.
Profiling is transcriptome-wide - investigate all miRNAs and small RNAs, of any size, known and unknown, in your sample.
Discover novel small RNAs and detect rare transcripts and transcript variants, such as sequence isoforms and SNPs.
The incredible power of RNA-Seq was initially applied primarily for complex whole transcriptome applications such as discovery of rare genes,
splice junctions and gene fusions or for the study of novel and less well-characterized organisms. However, as the technology is improving and
costs are decreasing, RNA sequencing is now suitable to be used for simple expression profiling of known genes as well.
An Alternative to Expression Arrays Achieve digital transcript expression analysis – RNA sequencing technology digitally “counts” each individual transcript, offering distinct
advantages over semi-quantitative array-based gene-expression analysis systems which rely on relative signal intensities.
Expression profiling is truly genome-wide – there is no need for probes based on prior sequence information.
Accurate quantitation of expression levels over 5 orders of magnitude of transcript abundance.
Profile gene expression in any species – quantitate differential expression across groups of different biological samples.
Provides a cost effective basic differential expression analysis of known genes via the latest next-gen sequencing technology.
Bioinformatics Package Includes: Raw sequencing data – up to 100M 50bp single-end reads per lane – either FASTA-
A or FASTA-Q files with base-calling quality scores
Data reduced to mappable reads, a list of unique sequences and their copy numbers
Genomic mapping of quality sequencing reads
Gene expression profiling
Test for differential expression at gene and transcript level
GO and KEGG annotation and enrichment analysis
Simple report of analysis showing statistical significance of differential expression
Degradome sequencing (Degradome-Seq), also referred to as parallel analysis of RNA ends (PARE), incorporates a modified 5′-rapid
amplification of cDNA ends (RACE) method with high-throughput next-gen sequencing to provide a comprehensive means of analyzing
patterns of RNA degradation.
Because miRNAs can cause endonucleolytic cleavage of mRNA by extensive and often perfect complementarity to mRNAs, degradome
sequencing has been used to identify miRNA cleavage sites. Degradome sequencing has confirmed many known and revealed novel plant
miRNA targets.
In plants, miRNAs tend to cause cleavage of their targets at the position between nucleotides 10 and 11 of the miRNA.
Next-Gen sequencing of the 5’ ends of degraded RNA products allows identification of over-represented 5’ ends (miRNA cleavage sites).
Matching cleavage sites to known miRNA sequences links miRNAs to their targets.
Bioinformatics Package Includes: Raw sequencing data – up to 100M 50bp single-end reads per lane – either FASTA-A or FASTA-Q files with base-calling quality scores
LC Sciences quality filtered data reduced to mappable reads, alignment, classification, & functional annotation of all mapped reads
Identification of rRNAs, tRNAs, snoRNAs, polyN and other non-coding RNAs
Distribution of degradation fragments on selected region of genome
Identification of target mRNAs
Statistical summary of mRNA degradation sites
Identification of miRNAs from miRBase related to mRNA degradation (results will be shown in a target plot diagram)
Customer data report – includes a summary of methods and statistical analysis
Confirmed microRNA targets are presented in the form of target plots (t-plots).
