Presentation made during the Nanopore Day meeting in Paris that took place March 15th 2018 from École normale supérieure Biology Institute on RNA sequencing and data analysis using the MinION system from Oxford Nanopore Technologies.
RNA profiling is a powerful technique for understanding cellular origins and disease states. Recent studies in a variety of diseases have revealed RNA signatures that are excellent biomarker candidates for understanding disease status and predicting progression.
Suppose you want to discover a biomarker. What are the major steps in discovering a biomarker when you start from a blood sample? Here is the story of a researcher who is trying to find blood-based biomarkers in autism spectrum disorders.
Proposed kinetic improvements to a Zika Biosensor developed by the Collins Lab at MIT that would reduce time of detection by 80% with a cost increase of only $0.01 per reaction.
Analyzing Fusion Genes Using Next-Generation SequencingQIAGEN
Fusion genes are hybrid genes formed by the fusion of two separate genes. Translocation, interstitial deletion and chromosomal inversions are some of the genetic events that can lead to the formation of fusion genes. The occurrence of fusion genes and its implications in cancer have already been known, but the emergence of NGS technology – especially RNA sequencing – offers the potential to detect novel gene fusions. You can learn more about fusion genes and applying NGS to detect them at our upcoming webinar, presented by Raed Samara, Ph.D., QIAGEN’s Global Product Manager for NGS technologies.
In this webinar, Dr. Raed Samara will cover:
1. Fusion genes: what they are and a historical perspective
2. Fusion gene detection: the current status
3. RNA sequencing vs. digital RNA sequencing
4. How to detect and accurately quantify novel fusion genes in your sample
Introduction to Next-Generation Sequencing (NGS) TechnologyQIAGEN
The continuous evolution of NGS technology has led to an enormous diversification in NGS applications and dramatically decreased the costs to sequence a complete human genome.
In this presentation, we will discuss the following major topics:
• Basic overview of NGS sequencing technologies
• Next-generation sequencing workflow
• Spectrum of NGS applications
• QIAGEN universal NGS solutions
Single-cell microRNA expression profiling is a challenging workflow. From cell lysis, reverse transcription, preamplificatin to real-time PCR, every step involves technical pitfalls. Therefore it is critical to have a robust system that facilitates universal cDNA synthesis and universal amplification of all miRNAs in one workflow without introducing bias. Here we present a new poster – introducing a robust real-time PCR workflow and protocol for profiling miRNA expression from a single cell and how we analyze the single cells by using the free data analysis software.
Microbiome Profiling with the Microbial Genomics Pro SuiteQIAGEN
In this slide deck, we introduce the scientist-friendly Microbial Genomics Pro Suite offering workflows optimized for microbiome profiling, microbial typing and outbreak analysis. The workflows and tools for microbial genomics introduced with this software package are further extending the comprehensive set of genomics, transcriptomics and epigenomics analysis solutions that researchers know from CLC Genomics Workbench.
In this lecture tried to introduce some basic methods of DNA sequencing like pyrosequencing, sequencing by ligation, sequencing by synthesis and Ion Semiconductor Sequencing
and describe them. Also introduced some new sequencing method (third generation sequencing) like SMRT (Single Molecule Real-Time Sequencing) and GridION.
RNA profiling is a powerful technique for understanding cellular origins and disease states. Recent studies in a variety of diseases have revealed RNA signatures that are excellent biomarker candidates for understanding disease status and predicting progression.
Suppose you want to discover a biomarker. What are the major steps in discovering a biomarker when you start from a blood sample? Here is the story of a researcher who is trying to find blood-based biomarkers in autism spectrum disorders.
Proposed kinetic improvements to a Zika Biosensor developed by the Collins Lab at MIT that would reduce time of detection by 80% with a cost increase of only $0.01 per reaction.
Analyzing Fusion Genes Using Next-Generation SequencingQIAGEN
Fusion genes are hybrid genes formed by the fusion of two separate genes. Translocation, interstitial deletion and chromosomal inversions are some of the genetic events that can lead to the formation of fusion genes. The occurrence of fusion genes and its implications in cancer have already been known, but the emergence of NGS technology – especially RNA sequencing – offers the potential to detect novel gene fusions. You can learn more about fusion genes and applying NGS to detect them at our upcoming webinar, presented by Raed Samara, Ph.D., QIAGEN’s Global Product Manager for NGS technologies.
In this webinar, Dr. Raed Samara will cover:
1. Fusion genes: what they are and a historical perspective
2. Fusion gene detection: the current status
3. RNA sequencing vs. digital RNA sequencing
4. How to detect and accurately quantify novel fusion genes in your sample
Introduction to Next-Generation Sequencing (NGS) TechnologyQIAGEN
The continuous evolution of NGS technology has led to an enormous diversification in NGS applications and dramatically decreased the costs to sequence a complete human genome.
In this presentation, we will discuss the following major topics:
• Basic overview of NGS sequencing technologies
• Next-generation sequencing workflow
• Spectrum of NGS applications
• QIAGEN universal NGS solutions
Single-cell microRNA expression profiling is a challenging workflow. From cell lysis, reverse transcription, preamplificatin to real-time PCR, every step involves technical pitfalls. Therefore it is critical to have a robust system that facilitates universal cDNA synthesis and universal amplification of all miRNAs in one workflow without introducing bias. Here we present a new poster – introducing a robust real-time PCR workflow and protocol for profiling miRNA expression from a single cell and how we analyze the single cells by using the free data analysis software.
Microbiome Profiling with the Microbial Genomics Pro SuiteQIAGEN
In this slide deck, we introduce the scientist-friendly Microbial Genomics Pro Suite offering workflows optimized for microbiome profiling, microbial typing and outbreak analysis. The workflows and tools for microbial genomics introduced with this software package are further extending the comprehensive set of genomics, transcriptomics and epigenomics analysis solutions that researchers know from CLC Genomics Workbench.
In this lecture tried to introduce some basic methods of DNA sequencing like pyrosequencing, sequencing by ligation, sequencing by synthesis and Ion Semiconductor Sequencing
and describe them. Also introduced some new sequencing method (third generation sequencing) like SMRT (Single Molecule Real-Time Sequencing) and GridION.
The transcriptome of a cell is not fixed, but is dynamic, and reflects the function or type of the cell, the cell stage or the cell's response to intrinsic and extrinsic influences, such as signaling or stress factors. Only on a single cell level, can you eliminate the biological noise that is inherent to standard gene expression analysis – providing you the insights needed for a deeper understanding of transcription dynamics. In this presentation we delve into the different steps of RNA seq starting from a single cell.
Introduction to second generation sequencingDenis C. Bauer
An introduction to second generation sequencing will be given with focus on the basic production informatics: The approach of raw data conversion and quality control will be discussed.
Next Generation Sequencing (NGS) Is A Modern And Cost Effective Sequencing Technology Which Enables Scientists To Sequence Nucleic Acids At Much Faster Rate. In This Presentation, You Will Learn About What is NGS, Idea Behind NGS, Methodology And Protocol, Widely Adapted NGS Protocols, Applications And References For Further Study.
understanding of the human immune system, and thereby cancer immunology.
αβT-cells are the primary constituents of human cell-mediated adaptive immunity.
The antigen specificity of each αβT-cell is encoded in the 500-600 bp transcript
encompassing the variable portion of the rearranged TCRα and TCRβ subunits,
which can be read via NGS in a process termed repertoire sequencing. Until now,
the main challenge the field faces is the lack of a technology that can provide a
contiguous read of 600 bp to minimize the complexity of designing bias-prone
primers and informatics challenges of stitching short reads. Here we leverage the
long read capability of Ion 530™ chip to comprehensively sequence all three CDR
domains of the TCRβ chain. The Ion 530™ chip offers greater than 15 M productive
reads, allowing a multiplex of 2-4 samples with sufficient coverage for most repertoire
profiling studies. Initial testing with leukocyte total RNA demonstrates that this
multiplex PCR assay produced repertoires that were much more similar to data
derived from 5’-RACE protocol than the commonly used BIOMED-2 primer set. This
result suggested that the use of long reads minimizes bias by allowing targeting of
less variable regions. To further assess the performance of the assay, we designed a
model system of 30 plasmid controls containing common human T-cell CDR3
sequences. Each plasmid was amplified individually and sequenced to confirm the
detection of a single clonal population. Analytical sensitivity of the assay and
accuracy of the accompanied analysis solution were further evaluated by spiking in
plasmid concentrations from 10 pg to 0.0001 pg (5 million to 50 copies) in a
background of 100 ng cDNA reverse transcribed from leukocyte total RNA. Results
showed the assay offers linearity over 5 orders of magnitude of decreasing input
concentration. In summary, we have demonstrated a NGS workflow for TCRβ
sequencing that offers multiplex flexibility on Ion S5 with sample to answer in less
than 48 hours.
Odyssey Of The IWGSC Reference Genome Sequence: 12 Years 1 Month 28 Days 11 ...Fabio Caligaris
Presented at Plant Genomics and Gene Editing Congress: Europe. For more information visit: www.global-engage.com
To meet the challenges of sequencing the large, hexaploid genome, the IWGSC focused initially on developing a solid foundation for sequencing that would accommodate any future advancements in sequencing technologies: i.e., producing physical maps for all 21 individual bread wheat chromosomes.
This session will follow up from transcript quantification of RNAseq data and discusses statistical means of identifying differentially regulated transcripts, and isoforms and contrasts these against microarray analysis approaches.
Technical Guide to Qiagen PCR Arrays - Download the GuideQIAGEN
Total RNA discovery with RT2 and miScript PCR Arrays : Explore the RNA universe - Whatever your destination within the RNA universe, QIAGEN will help you get there. The miRNeasy kits deliver pure, high-quality total RNA from a broad range of samples. The RT2 and miScript PCR arrays are a complete solution both for focused analysis of gene and microRNA expression and for validation of microarray and RNA sequencing experiments. Together with the powerful analytics tools of GeneGlobe® and QIAGEN Ingenuity® Pathway Analysis, these products give you a smooth path from your sample to high-quality results.
The transcriptome of a cell is not fixed, but is dynamic, and reflects the function or type of the cell, the cell stage or the cell's response to intrinsic and extrinsic influences, such as signaling or stress factors. Only on a single cell level, can you eliminate the biological noise that is inherent to standard gene expression analysis – providing you the insights needed for a deeper understanding of transcription dynamics. In this presentation we delve into the different steps of RNA seq starting from a single cell.
Introduction to second generation sequencingDenis C. Bauer
An introduction to second generation sequencing will be given with focus on the basic production informatics: The approach of raw data conversion and quality control will be discussed.
Next Generation Sequencing (NGS) Is A Modern And Cost Effective Sequencing Technology Which Enables Scientists To Sequence Nucleic Acids At Much Faster Rate. In This Presentation, You Will Learn About What is NGS, Idea Behind NGS, Methodology And Protocol, Widely Adapted NGS Protocols, Applications And References For Further Study.
understanding of the human immune system, and thereby cancer immunology.
αβT-cells are the primary constituents of human cell-mediated adaptive immunity.
The antigen specificity of each αβT-cell is encoded in the 500-600 bp transcript
encompassing the variable portion of the rearranged TCRα and TCRβ subunits,
which can be read via NGS in a process termed repertoire sequencing. Until now,
the main challenge the field faces is the lack of a technology that can provide a
contiguous read of 600 bp to minimize the complexity of designing bias-prone
primers and informatics challenges of stitching short reads. Here we leverage the
long read capability of Ion 530™ chip to comprehensively sequence all three CDR
domains of the TCRβ chain. The Ion 530™ chip offers greater than 15 M productive
reads, allowing a multiplex of 2-4 samples with sufficient coverage for most repertoire
profiling studies. Initial testing with leukocyte total RNA demonstrates that this
multiplex PCR assay produced repertoires that were much more similar to data
derived from 5’-RACE protocol than the commonly used BIOMED-2 primer set. This
result suggested that the use of long reads minimizes bias by allowing targeting of
less variable regions. To further assess the performance of the assay, we designed a
model system of 30 plasmid controls containing common human T-cell CDR3
sequences. Each plasmid was amplified individually and sequenced to confirm the
detection of a single clonal population. Analytical sensitivity of the assay and
accuracy of the accompanied analysis solution were further evaluated by spiking in
plasmid concentrations from 10 pg to 0.0001 pg (5 million to 50 copies) in a
background of 100 ng cDNA reverse transcribed from leukocyte total RNA. Results
showed the assay offers linearity over 5 orders of magnitude of decreasing input
concentration. In summary, we have demonstrated a NGS workflow for TCRβ
sequencing that offers multiplex flexibility on Ion S5 with sample to answer in less
than 48 hours.
Odyssey Of The IWGSC Reference Genome Sequence: 12 Years 1 Month 28 Days 11 ...Fabio Caligaris
Presented at Plant Genomics and Gene Editing Congress: Europe. For more information visit: www.global-engage.com
To meet the challenges of sequencing the large, hexaploid genome, the IWGSC focused initially on developing a solid foundation for sequencing that would accommodate any future advancements in sequencing technologies: i.e., producing physical maps for all 21 individual bread wheat chromosomes.
This session will follow up from transcript quantification of RNAseq data and discusses statistical means of identifying differentially regulated transcripts, and isoforms and contrasts these against microarray analysis approaches.
Technical Guide to Qiagen PCR Arrays - Download the GuideQIAGEN
Total RNA discovery with RT2 and miScript PCR Arrays : Explore the RNA universe - Whatever your destination within the RNA universe, QIAGEN will help you get there. The miRNeasy kits deliver pure, high-quality total RNA from a broad range of samples. The RT2 and miScript PCR arrays are a complete solution both for focused analysis of gene and microRNA expression and for validation of microarray and RNA sequencing experiments. Together with the powerful analytics tools of GeneGlobe® and QIAGEN Ingenuity® Pathway Analysis, these products give you a smooth path from your sample to high-quality results.
Targeted RNAseq for Gene Expression Using Unique Molecular Indexes (UMIs): In...QIAGEN
Traditional RNA sequencing (RNA-Seq) is a powerful tool for expression profiling, but is hindered by PCR amplification bias and inaccuracy at low expressing genes. QIAseq RNA is a flexible and precise tool developed for mitigating these complications, allowing digital gene expression analysis. This in-depth webinar will cover sample requirements, experimental design, NGS platform-specific challenges and workflow for gene enrichment, library prep and sequencing. The applications of QIASeq RNA Panels in cancer research, stem cell differentiation and elucidating the effects small molecules on signaling pathways will be highlighted.
Analyzing Genomic Data with PyEnsembl and VarcodeAlex Rubinsteyn
PyEnsembl and Varcode are two new libraries being developed at Mount Sinai's Hammerlab to facilitate the analysis of genomic variants with an eye toward Pythonic interfaces, data representations, and coding conventions. PyEnsembl provides access to genomic sequence and annotation data. PyEnsembl's API consists primarily of objects such as Gene, Transcript, and Exon, along with methods for querying these objects by properties such as their chromosomal locations. PyEnsembl can be used to answer fundamental questions such as "which genes overlap a genomic location?" and "what is the nucleotide sequence of a particular transcript?". Varcode sits on top of PyEnsembl and uses it to annotate genomic mutations. Varcode can be used to quickly answer questions such as "what's the degree of overlap between two sets of mutations" and "which genes are affected by each mutation?". Additionally, Varcode can predict the altered amino acid sequence arising from a mutation, which is useful for predicting properties of the mutant protein (such as presentation to the adaptive immune system). This talk will show some basic examples of PyEnsembl and Varcode in action and give a brief glimpse of how they can be used as part of a personalized cancer vaccine pipeline.
Ernesto Picardi – Bioinformatica e genomica comparata: nuove strategie sperim...eventi-ITBbari
Bioinformatica e genomica comparata: nuove strategie sperimentali e computazionali per la produzione e analisi di dati NGS finalizzati a sviluppare processi e prodotti innovativi per la salute dell’uomo, l’ambiente e l’agroalimentare.
Enabling RNA-Seq With Limited RNA Using Whole Transcriptome AmplificationQIAGEN
RNA-Seq was developed to perform transcriptome profiling and provides a highly precise measurement of expression levels of transcripts and their isoforms. Normally, RNA-Seq analysis requires at least 500 ng –1 μg of total RNA. When working with small biopsies, single cells (such as circulating tumor cells), or other limited material, whole transcriptome amplification (WTA) is normally required. Various WTA methods overcome limited RNA availability and enable transcriptome analysis from limited material or even single cells. In standard PCR-based WTA procedures, however, bias from uneven coverage of cDNA regions with high GC or AT content or amplification errors can lead to the loss of transcripts and wrong variant calling. Here, we compare a standard RNA-Seq library preparation method and the REPLI-g RNA library protocol. The REPLI-g procedure is a PCR-free protocol to efficiently generate RNA-Seq libraries from small amounts of RNA or a single cell in 6.5–7 hours. The REPLI-g protocol uses whole transcriptome amplification based on multiple displacement amplification (MDA), combined with an efficient library adaptor ligation procedure, to prepare RNA-Seq libraries from small RNA amounts. The procedure demonstrates high fidelity, minimal bias and retention of sample‘s transcriptional profile. Compared to standard RNA-Seq library prep, the REPLI-g protocol demonstrates similar reproducibility and sensitivity in transcript detection.
Course: Bioinformatics for Biomedical Research (2014).
Session: 2.1.3- Next Generation Sequencing. Technologies and Applications. Part III: NGS Applications II.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
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1. RNA sequencing and data
analysis using the MinION system
Stéphane LE CROM @slecrom
Sorbonne Université
École normale supérieure Biology Institute
@NanoporeConf #NanoporeDayParis March 15th 2018
2. RNA-seq
small
amounts
25%
RNA-seq
poly A
40%
RNA-seq
ribosomal
depletion
3%
ChIP-
seq
4%
Home
made 27%
Tests 1%
IBENS genomic core facility
We help researchers working on high
throughput genomic projects from experimental
design to publication.
We do functional genomics in eukaryotes
• Whole transcriptome – RNA-seq
• Chromatin IP – ChIP-seq
We validate our protocols using a mouse
model of peripheral nervous system
development where we compare 2 conditions:
Krox20 (Egr2) KO that blocks myelination VS
Wild Type strains.
#NanoporeDayParis - March 15th 2018 2
Library preparation types
3. We automated MinION run primary analysis
We developed tools to automatically
launch data transfer and basecalling.
We benchmark for optimal threads
usage before using Albacore.
SSD storage is mandatory to quickly
basecall 1D2 runs (from 30 to 7 days).
#NanoporeDayParis - March 15th 2018 3
Acquisition
RAID 1 + UPS
Storage
85 TB
Processing
6x 16 cores - 196 GB
https://hub.docker.com/r/genomic
pariscentre/albacore/
4. We developed ToulligQC for RNA-seq evaluation
ToulligQC efficiently handles files to
quickly produce a run QC, is adapted to
RNA-seq and takes barcoding into
account.
Outputs:
• yield plot to check sequencing
homogeneity;
• transcript length histogram;
• barcode proportion plot;
• flowcell map to visualize spatial biases.
ToulligQC is compatible with Albacore 2 and
1D2 runs.
ToulligQC is available on github and as a
Docker image.
#NanoporeDayParis - March 15th 2018 4
https://github.com/GenomicParisCentre/toulligQC
5. We tested for barcoding influence on sequencing
When sequencing one sample by run,
barcoding is optional but should help
detecting biases or contaminations.
How run output behaves if we
systematically barcoded all our
samples?
Barcoding procedure does not have a
visible influence on the overall throughput
of sequencing.
#NanoporeDayParis - March 15th 2018 55
BC1-WT1 WT1
2D 1D
0
1
2
3
4
5
6
7
8
Feb 2017 Apr 2017 Apr 2017 May 2017
Millionofreadssequenced
without barcode with barcode
6. Barcodes could facilitate data analysis
We mapped samples on Ensembl 88
cDNA sequences using Eoulsan.
The myelin gene Mpz is the most
expressed transcript in barcoded samples
but not without barcode.
Myelin transcripts achieved similar number
of reads in both sample types.
Barcoding could help filtering out low
quality sequences
#NanoporeDayParis - March 15th 2018 66
Most expressed feature
Proportion of reads (%)
Barcoded
Mpz
Mpz
rRNA
rRNA
Actin BWithoutBarcode
Mpz
http://outils.genomique.biologie.ens.fr/eoulsan/
7. 0
1
2
3
4
5
6
7
8
08/2016 01/2017 03/2017 04/2017 05/2017
Millionofreadssequenced
By multiplexing we sequence all samples in one
MinION run
Our mouse model compares
2 conditions (KO vs WT) in
triplicates (100 ng total RNA).
We ran MinION flow cells (48h
runs) with this multiplexed design.
We achieved an average of
5.6 million reads with R9.4 flow
cells and 1D method.
The yield improvement in our
experiments reflects the quick
evolution of Nanopore
technologies.
#NanoporeDayParis - March 15th 2018 7
R9
2D 1D
R9.4
8. We compared MinION results to NextSeq short
reads
Minimap2 gives a more homogenous
coverage, longer alignments and ~2x
more read counts compare to BWA.
We get 6,551 differentially expressed
transcripts (adjusted p-value < 0.01) with
300,000 1D unique alignments by
sample.
86% of these transcripts are shared with
the one coming from Illumina.
#NanoporeDayParis - March 15th 2018 8
Log2FC
MinION
Log2FC
NextSeq
9. Detection of splicing events
Collaboration with GenoSplice to detect
new splicing events by comparing ONT
with Illumina reads.
We found Tropomyosine (Tpm3)
transcripts not seen using short reads.
#NanoporeDayParis - March 15th 2018 9
10. Concluding remarks and future directions
An automated procedure for data analysis;
Read number increasing along time, up to
10 million reads.
No visible influence of the barcoding procedure.
Differential analysis achievable with only
100,000 reads per sample.
On-going tests with direct RNA protocol (2 µg total
RNA = 900K reads in 24hrs - still running).
Tests to work with smaller amounts of starting
material.
#NanoporeDayParis - March 15th 2018 10
11. The IBENS genomics facility team
https://genomique.biologie.ens.fr
genomique@biologie.ens.fr Genomique_ENS
#NanoporeDayParis - March 15th 2018 11
Aurélien
Birer
Laurent
Jourdren
Fanny
Coulpier
Sophie
Lemoine
Ammara
Mohammad
Lionel
Ferrato
Cédric
Fund
Corinne
Blugeon
Bérengère
Laffay