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UNDER THE GUIDANCE: 
DR LISAM
 High throughput sequencing 
 Lower Cost 
 Less time 
 Parallel Sequencing process 
 Sequence thousands of sequences at once
 Massively Parallel Signature Sequencing (Lynx 
Therapeutics) 
 Polony Sequencing (Agencourt Biosciences) 
 454 Pyrosequencing (454 Life Sciences) 
 Illumina (Solexa) sequencing 
 SOLiD Sequencing (Applied Bio-systems) 
 Ion Semiconductor sequencing (Ion Torrent Systems Inc.) 
 DNA Nanoball (Complete Genomics) 
 Heli-oscope Single Molecule Sequencing 
 Single Molecule SMRT Sequencing (Pacific Biosciences)
 The ability to process millions of sequence reads in 
parallel rather than 96 at a time. 
 NGS fragment libraries do not need vector based 
cloning and E. coli based amplification stages used in 
capillary sequencing. 
 Shorter Read Lengths. 
 Capillary sequencing – 96 wells, NGS – 10 million wells 
 High throughput : 
Sanger: 96 reads < 800-1000b/run 
Solexa: 1.2X106 reads < 75b/run
 High Throughput 
 Adapter ligation 
 Requirement of relatively little input DNA 
 Production of shorter read lengths(more 
convenient in downstream processing).
 Roche 454 GS FLX sequencer 
 (Pyrosequencing) 
 Illumina genome analyzer 
 (Sequencing by Synthesis) 
 Applied Biosystems SOLiD sequencer 
 (Sequencing by ligation)
Mutation discovery 
 Transcriptome Analysis – RNA-Seq 
 Sequencing clinical isolates in strain-to-reference 
mechanisms. 
 Enabling Metagenomics 
 Defining DNA-Protein interactions – ChIP-Seq 
 Discovering non-coding RNAs
 Discovery of mutations that determine 
phenotypes. 
 Conventional Approach – PCR amplified – 
Capillary sequencing – alignment/detection. 
 Whole genome resequencing is faster and less 
expensive using NGS. 
 E.g. Discovery of SNP in C. elegans required only a 
single run of Illumina Sequencer. (Hiller et.al.)
 Massively Parallel Sequencing method for 
Transcriptome analysis. 
 mRNA (transcript) – cDNA – sequencing using Next 
Generation Short Read Sequencing technology. 
 Reads are aligned to a reference genome and a 
Transcriptome map is constructed. 
 Advantages : 
 Does not require existing genomic sequence unlike 
hybridization. 
 Low background noise 
 High resolution – up to 1 bp (identification of SNP) 
 High throughput, low cost
 Even though complete genome sequence are available 
for disease causing microbes, continuous evolution by 
mutation and sequence exchange. 
 The depth of sampling of NGS helps greatly in 
identification of rare VARIANTS in the clinical strain 
isolates. 
 This is not possible in sequencing PCR products which is 
commonly done in a clinical diagnostic setting, because 
the low signal strength from variant nucleotides would 
not be detectable on a capillary sequencer. 
 The cloning bias is eliminated. 
 Improve diagnostics, monitoring and treatments.
 Metagenomics – sequencing of DNA of 
uncultured/unpurified microbial population followed 
by bioinformatics based analysis by comparison. 
 Associated cost of capillary sequencing remains very 
high. 
 Elimination of Metagenomic signatures from certain 
microbial sequences that are not carried stably by 
E.coli. during cloning. 
 Characterizations of the microbial census of the human 
and mouse intestinal flora and the oral cavity 
Microbiome.
 DNA-Protein interactions – DNA packaging into 
histones 
 Regulatory protein Binding 
 Exploring Chromatin Packaging
 ChIP requires an antibody specific for the DNA 
binding protein. 
 Protein DNA cross linker is added. 
 Cell lysis --- DNA fragmentation – Antibody 
Immunoprecipitation. 
 Crosslinking reversal or southern blotting or qPCR 
 ChIP-Seq --- simply make an adaptor ligated library of 
the released immunoprecipitated fragments and 
sequence them en masse. 
 High coverage and higher resolution. 
 NRSF and STAT1 transcription factors.
 Genomic DNA packaging into histones – availability of 
genes for transcription. 
 ChIP-Seq to compare histone methylations at promoter 
regions to check gene expression levels. 
 In a study, 20 histones, one histone variant (H2A.Z), RNA 
Polymerase II and insulator binding protein. 
 Result: Changes in Chromatin state at specific promoters 
reflect changes in gene expression they control.
 ncRNAs– regulatory RNA molecules. 
 Prediction of precursor and sequences of ncRNA by 
in silico methods is of limited use. 
 Examines the potential for secondary structure 
formation, putative genomic identification and 
regulatory molecules. 
 Identification of 21-U -RNAs in C.elegans.
 Third generation (Next-Next Generation) Sequencing. 
 Variations in sequences of human genome (about 5% 
considering the allele variation) is found using NGS. 
 A pilot project for determination of additional Human 
Genome sequences.
 Elaine R. Mardis (2008) the impact of next-generation 
sequencing technology on genetics. Cell vol.24 
No.3,133-14 
 Jorge S Reis-Filho (2010): Next-Generation Sequencing, 
Breast Cancer Research 2010, 11(Suppl 3) 
 Elaine R. Mardis (2009): Next-Generation Sequencing 
Methods. Annu. Rev. Genomics hum genet. 9:387-402 
 Some websites
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Nextgenerationsequencing 120202015950-phpapp02

  • 2.  High throughput sequencing  Lower Cost  Less time  Parallel Sequencing process  Sequence thousands of sequences at once
  • 3.  Massively Parallel Signature Sequencing (Lynx Therapeutics)  Polony Sequencing (Agencourt Biosciences)  454 Pyrosequencing (454 Life Sciences)  Illumina (Solexa) sequencing  SOLiD Sequencing (Applied Bio-systems)  Ion Semiconductor sequencing (Ion Torrent Systems Inc.)  DNA Nanoball (Complete Genomics)  Heli-oscope Single Molecule Sequencing  Single Molecule SMRT Sequencing (Pacific Biosciences)
  • 4.  The ability to process millions of sequence reads in parallel rather than 96 at a time.  NGS fragment libraries do not need vector based cloning and E. coli based amplification stages used in capillary sequencing.  Shorter Read Lengths.  Capillary sequencing – 96 wells, NGS – 10 million wells  High throughput : Sanger: 96 reads < 800-1000b/run Solexa: 1.2X106 reads < 75b/run
  • 5.  High Throughput  Adapter ligation  Requirement of relatively little input DNA  Production of shorter read lengths(more convenient in downstream processing).
  • 6.  Roche 454 GS FLX sequencer  (Pyrosequencing)  Illumina genome analyzer  (Sequencing by Synthesis)  Applied Biosystems SOLiD sequencer  (Sequencing by ligation)
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Mutation discovery  Transcriptome Analysis – RNA-Seq  Sequencing clinical isolates in strain-to-reference mechanisms.  Enabling Metagenomics  Defining DNA-Protein interactions – ChIP-Seq  Discovering non-coding RNAs
  • 15.  Discovery of mutations that determine phenotypes.  Conventional Approach – PCR amplified – Capillary sequencing – alignment/detection.  Whole genome resequencing is faster and less expensive using NGS.  E.g. Discovery of SNP in C. elegans required only a single run of Illumina Sequencer. (Hiller et.al.)
  • 16.  Massively Parallel Sequencing method for Transcriptome analysis.  mRNA (transcript) – cDNA – sequencing using Next Generation Short Read Sequencing technology.  Reads are aligned to a reference genome and a Transcriptome map is constructed.  Advantages :  Does not require existing genomic sequence unlike hybridization.  Low background noise  High resolution – up to 1 bp (identification of SNP)  High throughput, low cost
  • 17.  Even though complete genome sequence are available for disease causing microbes, continuous evolution by mutation and sequence exchange.  The depth of sampling of NGS helps greatly in identification of rare VARIANTS in the clinical strain isolates.  This is not possible in sequencing PCR products which is commonly done in a clinical diagnostic setting, because the low signal strength from variant nucleotides would not be detectable on a capillary sequencer.  The cloning bias is eliminated.  Improve diagnostics, monitoring and treatments.
  • 18.  Metagenomics – sequencing of DNA of uncultured/unpurified microbial population followed by bioinformatics based analysis by comparison.  Associated cost of capillary sequencing remains very high.  Elimination of Metagenomic signatures from certain microbial sequences that are not carried stably by E.coli. during cloning.  Characterizations of the microbial census of the human and mouse intestinal flora and the oral cavity Microbiome.
  • 19.  DNA-Protein interactions – DNA packaging into histones  Regulatory protein Binding  Exploring Chromatin Packaging
  • 20.  ChIP requires an antibody specific for the DNA binding protein.  Protein DNA cross linker is added.  Cell lysis --- DNA fragmentation – Antibody Immunoprecipitation.  Crosslinking reversal or southern blotting or qPCR  ChIP-Seq --- simply make an adaptor ligated library of the released immunoprecipitated fragments and sequence them en masse.  High coverage and higher resolution.  NRSF and STAT1 transcription factors.
  • 21.  Genomic DNA packaging into histones – availability of genes for transcription.  ChIP-Seq to compare histone methylations at promoter regions to check gene expression levels.  In a study, 20 histones, one histone variant (H2A.Z), RNA Polymerase II and insulator binding protein.  Result: Changes in Chromatin state at specific promoters reflect changes in gene expression they control.
  • 22.  ncRNAs– regulatory RNA molecules.  Prediction of precursor and sequences of ncRNA by in silico methods is of limited use.  Examines the potential for secondary structure formation, putative genomic identification and regulatory molecules.  Identification of 21-U -RNAs in C.elegans.
  • 23.  Third generation (Next-Next Generation) Sequencing.  Variations in sequences of human genome (about 5% considering the allele variation) is found using NGS.  A pilot project for determination of additional Human Genome sequences.
  • 24.  Elaine R. Mardis (2008) the impact of next-generation sequencing technology on genetics. Cell vol.24 No.3,133-14  Jorge S Reis-Filho (2010): Next-Generation Sequencing, Breast Cancer Research 2010, 11(Suppl 3)  Elaine R. Mardis (2009): Next-Generation Sequencing Methods. Annu. Rev. Genomics hum genet. 9:387-402  Some websites