SAGE- Serial Analysis of Gene Expression
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Serial Analysis of Gene Expression (SAGE) is a method to quantify gene expression in cells. It involves extracting short sequence tags from mRNA transcripts and concatenating them for efficient sequencing. This allows simultaneous analysis of thousands of transcripts. SAGE provides quantitative gene expression data without prior knowledge of genes and can identify differentially expressed genes between cell types or conditions. While powerful, it requires substantial sequencing and computational analysis of large datasets.
SAGE- Serial Analysis of Gene Expression
- 1. Serial Analysis of Gene Expression (SAGE) Technology By: Dr. Ashish C Patel Assistant Professor Vet College, AAU, Anand
- 2. Serial Analysis of Gene Expression It is believed that the majority of biological phenomena found in a variety of organisms can be explained by the quantity of gene products. To understand the cellular functions under the certain conditions at a certain time By measuring the mRNAs of different genes and respective numbers of mRNAs at a point of time. Each cell contains more than 10000 mRNAs of different genes, copies of mRNAs of each gene ranging from one to more than 10000, and, as a total, up to half a million mRNA transcript copies. It is therefore practically impossible to determine them.
- 3. Large-scale Random cDNA sequencing by EST project was very useful for the identification of unknown genes expressed in given cells or tissues. (Adams et al., 1991) mRNA Species 1 ……………. mRNA Species n Plasmid Insertion cDNA clones RE Assemble EST1…n Hence, sequencing = n x n times cDNA Assemble EST1…n Assemble EST1…n of all seq. projects All steps
- 4. • However, this approach was not designed to quantify expressed genes. • The body mapping project (Okubo et al., 1992) attempted to construct gene expression profiles of a number of cells and tissues by random sequencing of a 3’-directed cDNA library. • About 300 bp fragments of these 3’-region were called gene signature and each represented a particular mRNA species. • By sequencing 1000 or more cDNA clones, they could make a rough pattern of gene expression and identify mRNAs of highly abundant class. • However, an expected weakness of both EST and body mapping projects, in which one sequencing process yields only one cDNA sequence. • Mainly because of this low throughput, the profiles obtained by the body mapping project unavoidably became a long way from what is expected and demanded.
- 5. • Although the more recent methods of hybridization-based analyses (DNA microarray) using immobilized cDNAs or oligonucleotides can potentially examine the expression patterns of a relatively large number of genes but these method can only examine expressed sequences that have already been identified. • In contrast, the SAGE method allows for a quantitative and simultaneous analysis of a large number transcripts in any particular cells or tissues, without prior knowledge of the genes. • As the body mapping procedure, this method takes advantage of the 3’-portion of mRNA as the gene tag, but of much shorter form (9–10 bp).These tags can be serially connected before cloning into a plasmid vector. • Since the resulting plasmid clones contain multiple tags, sequences of several dozens of mRNAs can be obtained by a single sequencing reaction.
- 6. • Rapid and cost-saving sequencing by this original device allows quantification and identification of a large number of cellular transcripts.
- 7. • SAGE is based mainly on two principles, representation of mRNAs (cDNAs) by short sequence tags and concatenation of these tags for cloning to allow the efficient sequencing analysis. • The hypothetical eukaryotic cell that contains seven mRNA molecules composed of four species is depicted. • To explain the gene expression profile of this cell, they would have to conduct several cDNA sequencing reactions. • However, if each mRNA species can be represented by a short unique sequence stretch (such as 9 bp tag), the purpose would be attained by sequencing them, because a sequence stretch as short as 9 bp can distinguish 49 (262 144) transcripts, provided a random nucleotide distribution throughout the genome. • If we could connect these tags into a long stretch of DNA molecule, sequencing reaction would be needed only once. Principle of SAGE
- 8. The Principle of SAGE. The hypothetical eukaryotic cell that contain seven mRNA molecules composed of four species is shown as a model. Boxed are tags that are proper to mRNA species
- 9. SAGE Scheme SAGE method allows for a quantitative and simultaneous analysis of a large number of transcripts in any particular cells or tissues mRNA species 1 mRNA species 2 mRNA species 3 9–10 bp tag AAAAA AAAAA AAAAA clone Extract tags ,concatenate in plasmid
- 10. SAGE Scheme Isolate insertion seq from plasmid sequencing TAGCGG.. ATGCGGC.. TATTTTAGC… mRNA tag of species 1 mRNA tag of species 2 mRNA tag of species 3 Use BLAST service Human genome ATCGCC TAGCGG TACGCCG ATGCGGC ATAAAATCG TATTTTAGC Annotated Gene 1 Annotated Gene 12 Annotated Gene 34 Result: gene 1, 12, 34 are expressed during certain time say mitosis
- 11. SAGE procedure AAAAAmRNA mRNa- cDNA hybrid TTTTT Oligo(dT)-primer AAAAA Remove RNA by RNase H TTTTT ds cDNA synthesis TTTTT AAAAA Double-stranded cDNA is synthesized from mRNA by biotinylated oligo(dT) primer. b/c high efficiency for 3 ́ pol (A) region present in most eukaryotic mRNA
- 12. SAGE procedure AAAAA TTTTT TTTTT AAAAA 5’ GTAC Bind to streptavidin beads TTTTT5’ GTAC Divide in half TTTTT5’ GTAC AAAAA AAAAA TTTTT AAAAA 5’ GTAC The cDNA is then cleaved with a restriction enzyme (called anchoring enzyme, NlaIII The cDNA with a cohesive end at its 5’terminus is immobilize b binding to streptavidin-coated beads.
- 13. SAGE procedure GTAC AAAAA TTTTT CATGGGGA CCCT GTAC CATGGGGA CCCT AAAAA TTTTT Linkers A Linkers B Cleave Tagging Enzyme (TE) e.g. BsmFI. Linkers have RE site for BsmFI or FokI TE RE site TE RE site GTAC CATGGGGA CCCT NNNNN NNNNNNNNNNNNN Overlapping end CATGGGGA CCCT NNNNN NNNNNNNNNNNNNGTAC T4 DNA polymerase GTAC CATGGGGA CCCT NNNNNNNNNNNNN NNNNNNNNNNNNN CATGGGGA CCCT NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC Blunt end Two independent linkers are ligated using NlaIII cohesive termini to each
- 14. SAGE procedure GTAC CATGGGGA CCCT NNNNNNNNNNNNN NNNNNNNNNNNNN CATGGGGA CCCT NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC 5’ 5’ Ligate tail-to-tail orientation GTAC CATGGGGA CCCT NNNNNNNNNNNNN NNNNNNNNNNNNN CATG CCCT GGGA NNNNNNNNNNNNN NNNNNNNNNNNNN Amplify by primers A and B GTAC CATGGGGA CCCT NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN primer A primer B GTAC CATG CCCT GGGAGTAC Two portions are mixed again and ligated. The 5’ends of the linkers are blocked by amino group, only the mRNA-derived termini are able to be ligated in a tail-to-tail orientation
- 15. SAGE procedure After 1 round of amplification GTAC CATGGGGA CCCT NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN GTAC CATGGGGA CCCT NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN AE RE site AE RE site NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC CATG CATGGGGA CCCT CATG CCCT GGGA CATG CCCT GGGA GTAC GTAC GTAC CCCT GGGAGTAC NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC CATG Isolate ditags Amplified product cleaved by NlaIII, an anchoring enzyme Ditag fragments flanked both ends with NlaIII cohesive terminus are isolated and ligated to obtain concatemers
- 16. SAGE procedure NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC CATG NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC concatenate NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC CATG NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC Insert into plasmid & clone CATG CATG You can concatenate n number of species 1 mRNA species gives 2 ds cDNA joined by Palindromic Sequences
- 17. SAGE procedure NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC CATG NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNN NNNNNNNNNNNNNGTAC CATG 1 mRNA species mRNA species no. 1 mRNA species no. 2 mRNA species no. 3 mRNA species no. n plasmid
- 18. • SAGE is a tool for the study of gene expression, a variety of biological phenomena has been analyzed. Total tags analyzed by this method are close to five million up to year 2000. • Table 1 showing highly diverse types of cells and tissues under a variety of physiological and pathological conditions can be noticed. Numbers of total collected tags in each study were variable.
- 20. Cancer studies (Lal et al., 1999) • By comparing the gene expression profiles derived from cancer and normal tissue of interest, a large number of genes were identified as tumor specific. • Usually Northern blot hybridization analysis was performed for the confirmation of differential expression of these genes against a number of independently isolated tissue samples of similar nature. • About half of the overrepresented genes identified by SAGE were reproducibly present in these samples, while the behavior of the other half was quite different. This may reflect the heterogeneity among tumors from different individuals.
- 21. Immunological studies • A few SAGE analysis has been directly applied for the study of immunological phenomena. • Chen et al. (1998) have reported that the changes in gene expression in the rat mast cells before and after they were stimulated through high affinity receptors for immunoglobulin E. • It had not been previously associated with mast cells were macrophage migration inhibitory factor, receptors for growth hormone-releasing factor and melatonin. • Many other genes that were differentially expressed were those related to cell structure and cell motility, and numerous unknown genes that showed no database-matching.
- 22. Yeast • Yeast is widely used to clarify the biochemical and physiologic parameters underlying eukaryotic cellular functions. • The entire genome sequence has been determined (Goffeau, 1997) and the number of genes has been estimated to be about 6300. • Total mRNA molecules were also been estimated to be15 000 per cell (Hereford and Rosbach, 1977). • So, yeast was chosen as a model organism to evaluate the power of the SAGE technology.
- 23. Drawbacks, problems and technical modifications • As technical problems, a disadvantage of the need of relatively high amount of mRNA, relative difficulty to construct tag libraries and others. • MicroSAGE (Datson et al., 1999) requires 500–5000-fold less starting input RNA, and is simplified by the incorporation of a ‘one-tube’ procedure for all steps from RNA isolation to tag release. • SAGE-lite, is another similarly-devised protocol also allows the global analysis of transcription from less than 100 ng of total starting RNA (Peters et al., 1999). Technical difficulty of the procedure; • In the original SAGE protocol, major products of PCR are often linker- dimers. To minimize contaminating linker molecules, biotinylated PCR primers were introduce, which generates biotinylated ditag products, thus allowing removal of the unwanted linkers by binding to streptavidin beads used at a later stage.
- 24. • A simple introduction of heating step at final ligation step yields cloned concatemers with an average of 67 tags as compared to 22 tags obtained by the original protocol. • A major problem of the SAGE approach is how to further analyze the unknown tags. • The utilization of a conventional oligonucleotide-based plaque lift method was employed successfully for the isolation and cloning of a number of genes. • However, it is almost impossible to discriminate one-base mismatched sequence within oligonucleotides of only 13–14 bp in length rather than temperature-regulated DNA–DNA hybridization technology, thus resulting in numerous false positives. • An RT-PCR-based method was developed to analyze the corresponding genes and this approach utilizes identified tag sequences and oligo-dT as PCR primers.
- 25. • Matsumura et al. (1999) reported a procedure to recover a longer cDNA fragment by PCR using the SAGE tag sequence as a primer, thereby facilitating the analysis of unknown genes identified by tag sequence in SAGE. • Sequencing Error: Sequencing error rate affect a SAGE experiment which can improve by using phred scores and discarding ambiguous sequences. • Short SAGE comprised 14bp and long SAGE comprised 21bp. • About 12% of C. elegans tags are not unambiguously identified using 14bp tags (Mc Kay et al., 2003). Results of empirical data suggests that Long SAGE gives far greater resolution, but at an increased cost.
- 26. SAGE Data Analysis Strategies • The sequence files generated by the automated sequencer are analyzed using the SAGE2000 software (www.sagenet.org). • The three steps involved in obtaining a differential gene expression list are as follows: (1) Interpret the SAGE tags from the sequence data files by using the SAGE2000 software for extracting ditags and checking for duplicate ditags; (2) Download a reference sequence database from the NCBI Web site (SAGEmap, www.ncbi.nlm.nih.gov); and (3) Associating the tags to the expressed gene database. The relative transcript abundance can then be calculated by dividing the unique tag count by the total tags sequenced, and the fold change can be determined by the ratio of tags between libraries.
- 27. • The initial analysis is usually limited to a predefined tag ratio of greater than 5-fold and a value of P≤0.05. • The rates of false-positives associated with different probability values have been computed by Monte-Carlo test to validate confidence intervals. • Depending on the preliminary results, the SAGE data can be reanalyzed by varying the P values and the fold-change thresholds.
- 28. SAGEmap
- 30. Sage resources
- 31. Sage data
- 32. SAGE APPLICATION • SAGE is useful in comparative expression studies to identify differences in gene expression between two or more cellular sources of RNA. • Gene Discovery • Determining changes on gene expression as consequence of an experimental treatment (e.g. carcinogen, hormone) • Provides quantitative data on both known and unknown genes • Analyzes all transcripts (Transcriptome) without prior selection of known genes • Analysis of Cardiovascular gene expression • Gene expression in carcinogenesis • Substance abuse studies • Cell, tissue and developmental stage profiling • Profiling of human diseases
- 33. SAGE – Advantages & Disadvantages Advantages • No hybridizing, so no cross-hybridizing can occur. • Can help identify new genes by using tag as a PCR primer Disadvantages • Cost and time required to perform so many PCR and sequencing reactions. • Type IIS restriction enzyme can yield fragments of the wrong length depending on temperature. • Multiple genes could have the same tag • As with microarrays, mRNA levels may not represent protein levels in a cell