Next Generation Sequencing

Transcription

1 Next Generation Sequencing Technology and applications 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 1

2 Landmarks in DNA sequencing 1953 Discovery of DNA double helix structure 1977 A Maxam and W Gilbert "DNA seq by chemical degradation" F Sanger"DNA sequencing with chain- terminating inhibitors" 1984 DNA sequence of the Epstein- Barr virus, 170 kb 1987 Applied Biosystems - first automated sequencer 1991 Sequencing of human genome in Venter's lab 1996 P. Nyrén and M Ronaghi - pyrosequencing 2001 A draft sequence of the human genome 2003 human genome completed Life Sciences markets first NGS machine 10/1/2015 Jeroen Van Houdt - Genomics Core - UZ Leuven - KU Leuven

3 Massive parallel sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - UZ Leuven- KU Leuven

4 10/1/2015 Jeroen Van Houdt - Genomics Core - UZ Leuven- KU Leuven

5 10/1/2015 Jeroen Van Houdt - Genomics Core - UZ Leuven - KU Leuven

6 Roche 454 Landmarks in NGS Solexa/Illumina SOLiD E. coli (5Mb) Arabidopsis thaliana (157 Mb) 200 K reads 120 bp 30M reads 35 bp 100M reads 35 bp

7 Landmarks in NGS Roche 454 Illumina SOLiD Ion torrent PacBio RS E. coli (5Mb) Arabidopsis thaliana (157 Mb) 200 K reads 120 bp 30M reads 35 bp 100M reads 35 bp

8 DNA Sequencing the next generation NGS refers to non- Sanger- based high- throughput DNA sequencing technologies. Millions or billions of DNA strands can be sequenced in parallel

9 DNA Sequencing the next generation NGS refers to non- Sanger- based high- throughput DNA sequencing technologies. NGS technologies constitute various strategies that rely on a combination of Library/template preparation Parallel sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - UZ Leuven- KU Leuven

10 DNA Sequencing the next generation Sample prep Clonal Amplification Parallel sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 11

11 Roche GS FLX 454 & Roche Junior 454 SEQUENCING 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 12

12 454 sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 13

13 454 sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 14

14 454 sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 15

15 Life Technologies SOLiD 5500 Genetic Analyzer SOLID SEQUENCING 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 16

16 SOLiD sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 17

17 SOLiD sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 18

18 Life Technologies: Ion Proton & Ion PGM ION TORRENT SEQUENCING 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 19

19 Ion Torrent Sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 20

20 Ion Torrent Sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 21

21 Illumina HiSeq & NextSeq & MiSeq ILLUMINA (SOLEXA) SEQUENCING 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 22

22 Illumina sequencing Library All sample preparation protocols regardless of the application end with the same product: Double- stranded DNA with the insert to be sequenced flanked by adapters 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 23

23 Illumina library prep 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 24

24 Illumina Sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 25

25 Illumina Sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 26

26 Illumina Sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 27

27 Helicos BioSciences: November 15, 2012, bankrupt HELISCOPE SEQUENCING 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 28

28 DNA Sequencing the next generation Sample prep Clonal Amplification Parallel sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 29

29 Heliscope sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 30

30 Oxford Nanopore Technologies: GridION & MinION NANOPORE SEQUENCING 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 31

31 Oxford Nanopore Technologies: GridION & MiION NANOPORE SEQUENCING

32 Pacific Biosciences PacBio RS II SMRT SEQUENCING 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 33

33 PacBio history PacBio seduced investors with a promise of technology revolution A whole human genomes for $100 in about 15 minutes GC applies for funding for third generation sequencer

34 PacBio history None of those predictions came true Few scientists bought the one- ton instrument. PacBio market valuation of less than $70 million technology value of $0. $600 million of cash down the toilet GC gets funding for PacBio! Oxford Nanopore announced at AGBT

35 PacBio history 2012 New CEO Mike PacBio 2013 GC installs PacBio PacBio improved and has a niche ability to detect structural genetic variations creating high- quality genomes of small organisms like bacteria, viruses, and worms. PacBio s deal with Roche to develop technology for the diagnostic market

36 Single Molecule, Real-Time (SMRT ) DNA Sequencing SMRT bell SMRT Cells PacBio RS II

37 Template Preparation Template Preparation Run Design Polymerase e Binding Instrument Run Primary Analysis Secondary Analysis Tertiary Analysis DNA Sample Fragment DNA Damage Repair/ End Repair Ligate adapters Purify DNA SMRTbell Template preparation can be used to create libraries of various insert sizes from 250 bp to 20,000 bp depending on the needs of the application.

38 Advantages of SMRTbell Templates Key Advantages: Structurally linear Topologically circular Provides sequences of both forward and reverse strands in the same trace

39 Base Modification: Discover the Epigenome Directly observe base modifications using the kinetics of the polymerization reaction during normal sequencing

40 Signal Processing and Base Calling Converting pulses of light into DNA bases and kinetic measures 43

41 Understanding Accuracy in SMRT Sequencing Single-pass error rate ~11% (predominantly deletions or insertions) Single Molecule, Real-Time (SMRT ) DNA sequencing achieves highly accurate sequencing results, exceeding % (Q50) How is this possible given that single-pass sequence has 1 mistake every 10 nucleotides Single-pass errors are distributed randomly, which means that they wash out very rapidly upon building consensus.

42 Sequencing 45 74

43 SMRT Sequencing Accuracy Perspective: Understanding SMRT Sequencing Accuracy Data generated with P4-C2 chemistry on PacBio RS II; Analyzed using Quiver with SMRT Analysis

44 The PacBio RS Helps Resolve Genetically Complex Problems Comprehensively Targeted Characterize Sequencing Genomic Variation De Generate Novo Assembly Finished Assemblies Automatically Base Modification detect Detection DNA base modifications 47

45 NGS time line Roche 454 Illumina SOLiD Ion torrent PacBio RS E. coli (5Mb) Arabidopsis thaliana (157 Mb) 200 K reads 120 bp 30M reads 35 bp 100M reads 35 bp

46 NGS time line 54 Illumina SOLiD Ion torrent PacBio RS b) Arabidopsis thaliana (157 Mb) ds 30M reads 35 bp 100M reads 35 bp

47 NGS time line Ion torrent PacBio RS HiSeq 4000 HiSeq X ten HiSeq2500 PB Sequel

48 NGS Technology: conclusions 52

49 NGS Technology: conclusions 53

50 Summary 54

51 NGS terminology 55

52 NGS as a tool for studying Genome variation and regulation NGS APPLICATIONS 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 56

53 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 57

54 DNA SEQUENCING WHOLE GENOME SEQUENCING

55 59

56 Copy Number Variations 60

57 Structural Variations 61

58 Whole genome sequencing ì ì ì Copy number variation analysis ì ì Sequencing a genome at x Sequencing a genome at 1-3x Structural variation analysis ì Sequencing a genome at 5-10x Whole genome re- sequencing ì ì Sequencing a genome at >30x yeast, fruit fly, bacterial genomes, human 62

59 DNA SEQUENCING TARGETED RE- SEQUENCING

60 Sequencing - the beginning Random genome sequencing?????? Sanger sequencing Targeted bp 10/1/2015 Jeroen Van Houdt - Genomics Core - UZ Leuven- KU Leuven

61 Target enrichment strategies Random genome sequencing Hybrid Capture PCR based Sanger sequencing 10/1/2015 Jeroen Van Houdt - Genomics Core - UZ Leuven- KU Leuven

62 Target enrichment strategies 10/1/2015 Jeroen Van Houdt - Genomics Core - UZ Leuven- KU Leuven

63 67

64 Rapid expression profiling, transcriptome sequencing and small RNA s RNA SEQUENCING

65 RNA- seq

66 RNAseq: Gene Expression through sequencing ì ì ì ì ì ì ì ì Supports discovery, screening, and profiling Does not require prior gene knowledge or annotation Unique combination of Qualitative and quantitative measurement Digital counts vs analog intensities Increased dynamic range and sensitivity No probes or primers Any species - Even when reference genome not available Analyze gene expression

67 RNAseq: summary ì ì ì Counting or Profiling ì 10 million total reads of 35 bp length from poly- A selected RNA will give performance better than any microarray Studying Alternative Splicing or quantifying csnps for most transcripts ì Deeper profiling of 50 to 100 million reads, with read lengths of 50 to 100 bps, from poly- A selected RNA using mrna- Seq assay Complete Annotation of an entirely New Transcriptome ì ~500 Million reads of 100 bp read length from multiple tissues ì Normalized stranded mrna- Seq & ncrnas ì Small RNA- Seq for micrornas