Selection and application of ssDNA
aptamer to detect active TB from
sputum samples
Date: /4/14
Presented by Toh Saw Yi
Impact factor: 3.73
5-year IF: 4.24
The Tuberculosis Threat
Tuberculosis (TB) facts:
Approximately 8.6 million new TB
cases and 1.3 million deaths in 2012
(World Health Organization, 2013)
Spreads via airborne droplets (Mayo
Foundation for Medical Education and Research (MFMER), 2011)
 infectees - rising global human
population; rising number of people
with immune-deficient diseases (World
Health Organization, 2010)
World Health Organization (WHO) -
Stop TB strategy – aims to reduce the
global threat of TB by 2015 (Hawthorne, Thickett,
& Wood, 2012).
What is ESAT-6?
ESAT-6
 6kDa
 Early secretory protein
 Specific to virulent members of the
MTB complex
 Potent T-cell antigen – induces
interferon γ
 Functions:
 Virulence of MTB (Renshaw et al., 2005)
 Phagosomal rupture of phagocytes
(Simeone et al., 2012)
 Inhibits downstream signal
transduction in macrophages (S. K. Pathak
et al., 2007)
 And others…
What is CFP-10?
CFP-10
 ESAT-6-like protein
esxB/ secreted antigenic protein
MTSA-10/ 10 kDa culture filtrate
antigen
 Forms a tight
1:1 heterodimeric complex
with ESAT-6
 Functions:
 Virulence of MTB (Renshaw et al.,
2005)
What is ESAT-6/CFP-10 complex?
Complex
 100AA sequence
 Has a hydrophobic nature
 Has high content of α-helical
structures
 Are recognised in over 70% of TB
patients
 Functions:
 Virulence of MTB (Renshaw et al.,
2005)
Why DNA aptamer?
• Reportedly, they state that DNA aptamers:
1. Possess greater inherent stability (DNA)
2. Are cheaper to produce than RNA aptamer
What they have done?
Their aptamer…
• 90-mer DNA aptamer with 49 randomised sequence
How to get ssDNA from dsDNA after PCR?
• 2 methods: T7-based SELEX and exonuclease-based SELEX
 dsDNA used as a template to obtain RNA (via in vitro transcription) ->
+DNase I, purified and preciptated -> RT-PCR -> Hydrolyse RNA ->
purify cDNA -> NEXT round of SELEX
 Digestion of dsDNA with lambda exonuclease -> degradation of the
reverse strand -> NEXT round of SELEX
• Negative selection: Pool is subjected to counter-selection against
nitrocellulose partitioning membrane
Known region Known regionRandom Nt region
(49 bases)
Comparison between T7-based SELEX and exonuclease-based SELEX
• Exonuclease-based SELEX has an enrichment of 68% after 4
rounds of SELEX.
• T7-based SELEX requires more rounds to hit 54.7% enrichment
• Check binding for final enriched pool of aptamer via ELONA ->
narrowed down from 24 candidate to only 6.
• Binding affinity determination via BIAcore 3000 (SPR): CSIR 2.19 has
the lowest KD (1.6±0.5nM).
• Competitive aptamer-antibody ELONA assay – CSIR 2.11 and CSIR
2.19 are unaffected (binding site is different).
CSIR 2.11 has a KD of 8±1.07nM; CSIR 2.19 has a KD of 1.6±0.5nM
Whattheyhavedone?
• In order to determine which part of the heterodimer did the
aptamers bind to… they did another ELONA.
• They noted that despite being selected against the whole
heterodimer, the aptamers have shown to recognise CFP-10 but
NOT ESAT-6.
Whattheyhavedone?
What have they done?
• Specificity testing
 All aptamers are able to recognise MTB lysates
 None are binding to S. pyrogenes or C. xerosis
 5/6 aptamers recognise M. smegmatis, M. bovis (BCG) and S. aureus
lysates.
 3/6 aptamers recognise P. aeruginosa lysate
What have they done?
Antigen detection in sputum sample
• CSIR 2.11 tested in 68 sputum samples via
ELONA
• Cut-point: At OD450 = 0.2 (for Youden’s Index)
Differentiating specificity and sensitivity
Statistics
• Youden's J statistic (a.k.a. Youden's index) is a single statistic that
captures the performance of a diagnostic test.
• May not correspond to cut-points that rules in or rules out disease.
• BUT is a chance corrected measure and is better interpretable across
different problems and populations than easily biased measures
like recall and precision, accuracy or F-score.
• Rule-in disease cut-point
• I’m assuming that this is the more accurate cut-point since it rules in
the disease unlike Youden’s which does not discriminate whether the
subject actually has the disease or not
Why did they use 2 indexes?
• The use of a single index is "not generally to be recommended”
(Everitt, 2002)
Statistics
J = Sensitivity + Specificity − 1
Discussions and limitations
• Even though aptamers are raised against the heterodimer, the
aptamers have shown a preference for CFP-10.
 But they explained that this is perhaps because ESAT-6 binding site is
not accessible due to it being bound to CFP-10.
 And when compared with their previous experiment using RNA
aptamers, they conclude that “perhaps RNA aptamers form more
stable secondary and tertiary structures than ssDNA aptamers”
 This leads to the results as seen in their ‘Specificity Testing’. Their
aptamer is able to bind to the CFP-10 monomer that is secreted by a
number of cells.
 For cells that do not produce CFP-10 (S. aureus), they do produce
other ESAT-6 homologues (like Esx A and Esx B proteins).
• Cross-reactivity of the aptamers can be improved via optimisation of
the aptamer (truncation)
Questions unanswered
• They did not give a reason as to why they
choose aptamer CSIR 2.11.
• CSIR 2.19 seems to be a better candidate
– lowest KD among the other 6
aptamers, have the same results as CSIR
2.11 for specificity testing.
• Maybe because CSIR 2.11 binds a tiny bit
to ESAT-6?
Further work
• Since the flexible C-terminus tail of CFP-10 is the main component of
the complex in the binding to WBC, they can check and see if their
aptamer somehow inhibited the function of the CFP-10 tail.
• More optimisation is needed to improve performance outcomes,
such as the optimisation of the aptamer
• Needs better validation by using a larger clinical sample size and from
different parts of the body
Conclusion
• Based on the specificity (68.75%) and sensitivity (100%) obtained
using the Youden’s Index, they concluded that it is encouraging for
the development of aptamers as detection reagent for TB
• Compared with their previous experiment using RNA aptamers, they
conclude that “perhaps RNA aptamers form more stable secondary
and tertiary structures than ssDNA aptamers”
• Binding affinity of their selected aptamer CSIR 2.11 has binding
affinity in the nanomolar range.
• ELONA lacks rapid readout – it takes couple of hours to perform
ELONA.
• Labeled this as a preliminary proof of concept study on the feasibility
of using aptamers for sputum samples
Further reading
• Youden Index and optimal cut-point estimated from observations
affected by a lower limit of detection -
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2515362/
• Optimal cut-point and its corresponding Youden Index to discriminate
individuals using pooled blood samples -
http://www4.stat.ncsu.edu/~bondell/OptimCut.pdf
• Revisiting Youden’s Index as a useful measure of the misclassification
error in meta-analysis of diagnostic studies -
http://www.personal.soton.ac.uk/dab1f10/SMM081867.pdf
 Thank you! 

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Selection and application of ssDNA aptamers to detect active TB from sputum samples

  • 1. Selection and application of ssDNA aptamer to detect active TB from sputum samples Date: /4/14 Presented by Toh Saw Yi Impact factor: 3.73 5-year IF: 4.24
  • 2. The Tuberculosis Threat Tuberculosis (TB) facts: Approximately 8.6 million new TB cases and 1.3 million deaths in 2012 (World Health Organization, 2013) Spreads via airborne droplets (Mayo Foundation for Medical Education and Research (MFMER), 2011)  infectees - rising global human population; rising number of people with immune-deficient diseases (World Health Organization, 2010) World Health Organization (WHO) - Stop TB strategy – aims to reduce the global threat of TB by 2015 (Hawthorne, Thickett, & Wood, 2012).
  • 3. What is ESAT-6? ESAT-6  6kDa  Early secretory protein  Specific to virulent members of the MTB complex  Potent T-cell antigen – induces interferon γ  Functions:  Virulence of MTB (Renshaw et al., 2005)  Phagosomal rupture of phagocytes (Simeone et al., 2012)  Inhibits downstream signal transduction in macrophages (S. K. Pathak et al., 2007)  And others…
  • 4. What is CFP-10? CFP-10  ESAT-6-like protein esxB/ secreted antigenic protein MTSA-10/ 10 kDa culture filtrate antigen  Forms a tight 1:1 heterodimeric complex with ESAT-6  Functions:  Virulence of MTB (Renshaw et al., 2005)
  • 5. What is ESAT-6/CFP-10 complex? Complex  100AA sequence  Has a hydrophobic nature  Has high content of α-helical structures  Are recognised in over 70% of TB patients  Functions:  Virulence of MTB (Renshaw et al., 2005)
  • 6. Why DNA aptamer? • Reportedly, they state that DNA aptamers: 1. Possess greater inherent stability (DNA) 2. Are cheaper to produce than RNA aptamer
  • 7. What they have done? Their aptamer… • 90-mer DNA aptamer with 49 randomised sequence How to get ssDNA from dsDNA after PCR? • 2 methods: T7-based SELEX and exonuclease-based SELEX  dsDNA used as a template to obtain RNA (via in vitro transcription) -> +DNase I, purified and preciptated -> RT-PCR -> Hydrolyse RNA -> purify cDNA -> NEXT round of SELEX  Digestion of dsDNA with lambda exonuclease -> degradation of the reverse strand -> NEXT round of SELEX • Negative selection: Pool is subjected to counter-selection against nitrocellulose partitioning membrane Known region Known regionRandom Nt region (49 bases)
  • 8. Comparison between T7-based SELEX and exonuclease-based SELEX • Exonuclease-based SELEX has an enrichment of 68% after 4 rounds of SELEX. • T7-based SELEX requires more rounds to hit 54.7% enrichment
  • 9. • Check binding for final enriched pool of aptamer via ELONA -> narrowed down from 24 candidate to only 6. • Binding affinity determination via BIAcore 3000 (SPR): CSIR 2.19 has the lowest KD (1.6±0.5nM). • Competitive aptamer-antibody ELONA assay – CSIR 2.11 and CSIR 2.19 are unaffected (binding site is different). CSIR 2.11 has a KD of 8±1.07nM; CSIR 2.19 has a KD of 1.6±0.5nM Whattheyhavedone?
  • 10. • In order to determine which part of the heterodimer did the aptamers bind to… they did another ELONA. • They noted that despite being selected against the whole heterodimer, the aptamers have shown to recognise CFP-10 but NOT ESAT-6. Whattheyhavedone?
  • 11. What have they done? • Specificity testing  All aptamers are able to recognise MTB lysates  None are binding to S. pyrogenes or C. xerosis  5/6 aptamers recognise M. smegmatis, M. bovis (BCG) and S. aureus lysates.  3/6 aptamers recognise P. aeruginosa lysate
  • 12. What have they done? Antigen detection in sputum sample • CSIR 2.11 tested in 68 sputum samples via ELONA • Cut-point: At OD450 = 0.2 (for Youden’s Index)
  • 15. • Youden's J statistic (a.k.a. Youden's index) is a single statistic that captures the performance of a diagnostic test. • May not correspond to cut-points that rules in or rules out disease. • BUT is a chance corrected measure and is better interpretable across different problems and populations than easily biased measures like recall and precision, accuracy or F-score. • Rule-in disease cut-point • I’m assuming that this is the more accurate cut-point since it rules in the disease unlike Youden’s which does not discriminate whether the subject actually has the disease or not Why did they use 2 indexes? • The use of a single index is "not generally to be recommended” (Everitt, 2002) Statistics J = Sensitivity + Specificity − 1
  • 16. Discussions and limitations • Even though aptamers are raised against the heterodimer, the aptamers have shown a preference for CFP-10.  But they explained that this is perhaps because ESAT-6 binding site is not accessible due to it being bound to CFP-10.  And when compared with their previous experiment using RNA aptamers, they conclude that “perhaps RNA aptamers form more stable secondary and tertiary structures than ssDNA aptamers”  This leads to the results as seen in their ‘Specificity Testing’. Their aptamer is able to bind to the CFP-10 monomer that is secreted by a number of cells.  For cells that do not produce CFP-10 (S. aureus), they do produce other ESAT-6 homologues (like Esx A and Esx B proteins). • Cross-reactivity of the aptamers can be improved via optimisation of the aptamer (truncation)
  • 17. Questions unanswered • They did not give a reason as to why they choose aptamer CSIR 2.11. • CSIR 2.19 seems to be a better candidate – lowest KD among the other 6 aptamers, have the same results as CSIR 2.11 for specificity testing. • Maybe because CSIR 2.11 binds a tiny bit to ESAT-6?
  • 18. Further work • Since the flexible C-terminus tail of CFP-10 is the main component of the complex in the binding to WBC, they can check and see if their aptamer somehow inhibited the function of the CFP-10 tail. • More optimisation is needed to improve performance outcomes, such as the optimisation of the aptamer • Needs better validation by using a larger clinical sample size and from different parts of the body
  • 19. Conclusion • Based on the specificity (68.75%) and sensitivity (100%) obtained using the Youden’s Index, they concluded that it is encouraging for the development of aptamers as detection reagent for TB • Compared with their previous experiment using RNA aptamers, they conclude that “perhaps RNA aptamers form more stable secondary and tertiary structures than ssDNA aptamers” • Binding affinity of their selected aptamer CSIR 2.11 has binding affinity in the nanomolar range. • ELONA lacks rapid readout – it takes couple of hours to perform ELONA. • Labeled this as a preliminary proof of concept study on the feasibility of using aptamers for sputum samples
  • 20. Further reading • Youden Index and optimal cut-point estimated from observations affected by a lower limit of detection - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2515362/ • Optimal cut-point and its corresponding Youden Index to discriminate individuals using pooled blood samples - http://www4.stat.ncsu.edu/~bondell/OptimCut.pdf • Revisiting Youden’s Index as a useful measure of the misclassification error in meta-analysis of diagnostic studies - http://www.personal.soton.ac.uk/dab1f10/SMM081867.pdf