Difference between revisions of "Team:CLSB-UK"

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Lung cancer is the most common cause of cancer-related mortality, with 1.6million deaths in 2012. That’s 20% of all reported deaths due to cancer. Non-small cell lung cancer (NSCLC) makes up ~80% of all incidences of lung cancer.<ref name="chan">Chan, B. A., & Hughes, B. G. (2015). Targeted therapy for non-small cell lung cancer: current standards and the promise of the future. Translational lung cancer research, 4(1), 36.</ref> 58% of all cases in 2012 were reported in less developed countries.<ref>Ferlay, J., Soerjomataram, I., & Ervik, M. (2012). GLOBOCAN, cancer incidence and mortality worldwide: IARC cancer base no. 11 [Internet]. Lyon, France: International Agency for Research on Cancer; 2013.</ref>
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Lung cancer is the most common cause of cancer-related mortality, with 1.6 million deaths in 2012. That’s 20% of all reported deaths due to cancer. Non-small cell lung cancer (NSCLC) makes up ~80% of all incidences of lung cancer.<ref name="chan">Chan, B. A., & Hughes, B. G. (2015). Targeted therapy for non-small cell lung cancer: current standards and the promise of the future. Translational lung cancer research, 4(1), 36.</ref> 58% of all cases in 2012 were reported in less developed countries.<ref>Ferlay, J., Soerjomataram, I., & Ervik, M. (2012). GLOBOCAN, cancer incidence and mortality worldwide: IARC cancer base no. 11 [Internet]. Lyon, France: International Agency for Research on Cancer; 2013.</ref>
  
 
NSCLC is aggressive and pathologically diverse.<ref>Board,  P. A. T. E. (2017). Non-Small Cell Lung Cancer Treatment (PDQ®).</ref> NSCLC commonly presents with a cough, haemoptysis and the symptoms of metastatic disease such as bone pain or jaundice. As only a minority of patients present with operable tumours, in most cases treatment is with palliative intent.<ref>Bower, M., & Waxman, J. (2010). Oncology: lecture notes. Wiley-Blackwell.</ref> Treatment centers around chemotherapy and radiotherapy, but new treatments show promise including immunotherapies.<ref>Chen, Z., Fillmore, C. M., Hammerman, P. S., Kim, C. F., & Wong, K. K. (2014). Non-small-cell lung cancers: a heterogeneous set of diseases. Nature reviews. Cancer, 14(8), 535.</ref><ref name="chan" />
 
NSCLC is aggressive and pathologically diverse.<ref>Board,  P. A. T. E. (2017). Non-Small Cell Lung Cancer Treatment (PDQ®).</ref> NSCLC commonly presents with a cough, haemoptysis and the symptoms of metastatic disease such as bone pain or jaundice. As only a minority of patients present with operable tumours, in most cases treatment is with palliative intent.<ref>Bower, M., & Waxman, J. (2010). Oncology: lecture notes. Wiley-Blackwell.</ref> Treatment centers around chemotherapy and radiotherapy, but new treatments show promise including immunotherapies.<ref>Chen, Z., Fillmore, C. M., Hammerman, P. S., Kim, C. F., & Wong, K. K. (2014). Non-small-cell lung cancers: a heterogeneous set of diseases. Nature reviews. Cancer, 14(8), 535.</ref><ref name="chan" />

Revision as of 16:01, 29 October 2017

Project BATMAN

a new way to detect cancer using toehold switches

Late presentation and non-specific symptoms are the main
reasons 1.6 million people worldwide die from lung cancer every year

Dr Sujal Desai, Consultant Chest Radiologist

We have developed a new way to detect cancer at an early stage by measuring micro-RNAs (miRNAs), biomarkers found in blood. We use toehold switches to regulate expression of GFP in response to specific miRNAs. This method could be applied to a myriad of diseases, but we have chosen to use non-small cell lung cancer (NSCLC) as a proof of concept. We hope our work in NSCLC detection demonstrates the potential that toehold switches have to offer as a cheap and effective diagnostic tool.

Biomarkers in the blood

Abnormal levels of miRNAs miR-15b-5p and miR-27b-3p in blood serum are indicative of NSCLC[1].

We designed two sequence-specific sensors that use synthetic riboregulators called toehold switches to detect miR-15b-5p and miR-27b-3p. They work by regulating the expression of fluorescent reporter proteins in the presence of thse specific miRNAs. Our sensors work in a cell-free system, allowing them to be used safely and in a low-tech environment.

Non-small cell lung cancer

Lung cancer is the most common cause of cancer-related mortality, with 1.6 million deaths in 2012. That’s 20% of all reported deaths due to cancer. Non-small cell lung cancer (NSCLC) makes up ~80% of all incidences of lung cancer.[2] 58% of all cases in 2012 were reported in less developed countries.[3]

NSCLC is aggressive and pathologically diverse.[4] NSCLC commonly presents with a cough, haemoptysis and the symptoms of metastatic disease such as bone pain or jaundice. As only a minority of patients present with operable tumours, in most cases treatment is with palliative intent.[5] Treatment centers around chemotherapy and radiotherapy, but new treatments show promise including immunotherapies.[6][2]

About 90% of lung cancers are caused by smoking and as smoking rates have declined, there has been a corresponding reduction in incidence of lung cancers.[7] However, nearly 30% of the global population are still estimated to smoke.[8]

IAIBIIAIIBIIIAIIIBIV01020304050605 year NSCLC survival rates by stageStage DiagnosedSurvival rate (%)Graph data from the American Cancer Society.[9]


NSCLC’s high mortality rate is largely down to the late stage at which it’s normally diagnosed.[10] This often renders surgery, which can be curative in early stages, pointless as the tumour has metastasised. [11][12]

MicroRNA (miRNA)

MicroRNAs (miRNAs) can act as potent biomarkers for a myriad of diseases.

MiRNAs are short non-coding RNAs of 19-24 nucleotides in length. They are involved in regulating post-transcriptional gene expression in eukaryotes.[13][14][15] MiRNAs can be found extracellularly in various body fluids, including serum[16][1], plasma[17], saliva[18], urine[19] and breast milk[20].

It has been hypothesised that cells actively secrete miRNAs in microvesicles and bound to RNA binding proteins.[21] These shield the circulating miRNAs from ribonucleases[21] and are capable of delivering miRNAs to recipient cells.[22][23][20] These miRNAs can then trigger signalling events, indicating that circulating miRNAs play a role in cell-to-cell communication.[23][20][24]

Recent studies have shown that differential levels of miRNAs in body fluids are indicative of specific diseases, including many forms of cancer.[1][17][19][25] MiRNA stability, accessibility by non-invasive methods (liquid biopsy) and their ability to diagnose diseases in early stages give circulating miRNAs the potential to be effective biomarkers.[26]

Currently, microarrays and qPCR are typically used to quantify circulating miRNAs. However, qPCR is labour intensive, whilst microarrays suffer from cross-hybridisation and inconsistent results.[27][28]

MiRNAs have great potential as new clinical biomarkers. Most current biomarkers are proteins, however there are numerous challenges to identifying new protein markers. These include the difficulties in developing suitably specific detection agents, the variety of post-translational modifications and the lack of proteins of interest in the blood.

MiRNAs are stable, tissue or stage specific biomarkers which have great potential for effective clinical use.[26]


Toehold switches

Toehold switches are synthetic riboregulators that control gene expression post transcriptionally. They are hairpin loops found near the 5’ end of messenger RNA that can switch between two configurations - one which promotes and one which represses translation based on the presence or absence of a trigger RNA. Toehold switches have much greater possible dynamic ranges than previous riboregulators.

Initially the start codon is surrounded by a strong secondary structure - the hairpin stem. As the ribosome cannot melt the stem, translation of a fluorescent reporter protein coding sequence is repressed.


Play animation

When a trigger RNA binds to the toehold region (a linear sequence at the 5’ end of the switch) it undergoes a branch migration with the lower part of the stem. This relieves the secondary structure around the start codon. The ribosome bound to the RBS can then melt the remaining stem


Next

This activates translation and fluorescence from the reporter protein can be observed.


Reset

Previous riboregulators have relied on base pairing to the RBS to prevent ribosome binding.[29][30][31] For these the trigger RNA must contain the RBS sequence to displace the sequence bound to the RBS, dramatically reducing programmability of the trigger RNA. However, the trigger RNA for a toehold switch has very few sequence constraints due to the lack of base pairing to the RBS and start codon (as strand displacement does not occur in the regions which have fixed sequences).

Furthermore, in previous riboregulators trigger RNA binding is initiated in the short loop domain of the hairpin module.[29][30][32] Subsequently, the binding thermodynamics in previous riboregulators are not as favourable as the toehold switch’s because toehold switches have longer linear trigger binding regions. This increases the probability of spontaneous trigger RNA dissociation and reduces the likelihood of successful strand displacement of the RBS from the incumbent sequence bound to it in previous riboregulators in previous riboregulators.[33] The dynamic range of previous riboregulators has therefore been limited to a maximum of 55 fold[29], whereas toehold switches display a mean dynamic range of over 400 fold[34].

The large dynamic range that toehold switches offer allows for low concentrations of miRNAs to be detected.

We used toehold switches to detect miRNAs, as they have few sequence constraints so an arbitrary RNA sequence can act as the trigger RNA. As such, toehold switch mediated miRNA detection could act as a ubiquitous mechanism, capable of detecting any miRNA sequence for any disease.

Following miRNA extraction from a body fluid, the miRNA is added to a cell free system containing an excess of toehold switches that detect a specific target miRNA. These toehold switches regulate translation of GFP. The intensity of fluorescence produced by our circuits is therefore indicative of the number of toehold switches activated and consequently, the miRNA levels in the body fluid.

Our project

That’s a overview of our system. To learn more about the different aspects of our project check out the links below.

References

  1. ↑ 1.0 1.1 1.2 Hennessey, P. T., Sanford, T., Choudhary, A., Mydlarz, W. W., Brown, D., Adai, A. T., ... & Califano, J. A. (2012). Serum microRNA biomarkers for detection of non-small cell lung cancer. PloS one, 7(2), e32307.
  2. ↑ 2.0 2.1 Chan, B. A., & Hughes, B. G. (2015). Targeted therapy for non-small cell lung cancer: current standards and the promise of the future. Translational lung cancer research, 4(1), 36.
  3. ↑ Ferlay, J., Soerjomataram, I., & Ervik, M. (2012). GLOBOCAN, cancer incidence and mortality worldwide: IARC cancer base no. 11 [Internet]. Lyon, France: International Agency for Research on Cancer; 2013.
  4. ↑ Board, P. A. T. E. (2017). Non-Small Cell Lung Cancer Treatment (PDQ®).
  5. ↑ Bower, M., & Waxman, J. (2010). Oncology: lecture notes. Wiley-Blackwell.
  6. ↑ Chen, Z., Fillmore, C. M., Hammerman, P. S., Kim, C. F., & Wong, K. K. (2014). Non-small-cell lung cancers: a heterogeneous set of diseases. Nature reviews. Cancer, 14(8), 535.
  7. ↑ (n.d.). Lung cancer: diagnosis and management - NICE. Retrieved October 7, 2017, from https://www.nice.org.uk/guidance/cg121/chapter/introduction
  8. ↑ Gopal, M., Abdullah, S. E., Grady, J. J., & Goodwin, J. S. (2010). Screening for lung cancer with low-dose computed tomography: a systematic review and meta-analysis of the baseline findings of randomized controlled trials. Journal of thoracic oncology, 5(8), 1233-1239.
  9. ↑ (2015) Cancer Treatment & Survivorship Facts & Figures 2014-2015, American Cancer Society
  10. ↑ Dajac, J., Kamdar, J., Moats, A., & Nguyen, B. (2016). To Screen or not to Screen: Low Dose Computed Tomography in Comparison to Chest Radiography or Usual Care in Reducing Morbidity and Mortality from Lung Cancer. Cureus, 8(4).
  11. ↑ Uramoto, H., & Tanaka, F. (2014). Recurrence after surgery in patients with NSCLC. Translational lung cancer research, 3(4), 242.
  12. ↑ Molina, J. R., Yang, P., Cassivi, S. D., Schild, S. E., & Adjei, A. A. (2008, May). Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship. In Mayo Clinic Proceedings(Vol. 83, No. 5, pp. 584-594). Elsevier.
  13. ↑ Bartel, D. P. (2004). MicroRNAs: genomics, biogenesis, mechanism, and function. cell, 116(2), 281-297.
  14. ↑ Ambros, V. (2004). The functions of animal microRNAs Nature 431: 350–355. Proceedings of the National Academy of Sciences of the United States of America, 103, 3687-3692.
  15. ↑ Kim, V. N., Han, J., & Siomi, M. C. (2009). Biogenesis of small RNAs in animals. Nature reviews Molecular cell biology, 10(2), 126-139.
  16. ↑ Zen, K., & Zhang, C. Y. (2012). Circulating microRNAs: a novel class of biomarkers to diagnose and monitor human cancers. Medicinal research reviews, 32(2), 326-348.
  17. ↑ 17.0 17.1 Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., ... & Lin, D. W. (2008). Circulating microRNAs as stable blood-based markers for cancer detection. Proceedings of the National Academy of Sciences, 105(30), 10513-10518.
  18. ↑ Park, N. J., Zhou, H., Elashoff, D., Henson, B. S., Kastratovic, D. A., Abemayor, E., & Wong, D. T. (2009). Salivary microRNA: discovery, characterization, and clinical utility for oral cancer detection. Clinical Cancer Research, 15(17), 5473-5477.
  19. ↑ 19.0 19.1 Hanke, M., Hoefig, K., Merz, H., Feller, A. C., Kausch, I., Jocham, D., ... & Sczakiel, G. (2010, December). A robust methodology to study urine microRNA as tumor marker: microRNA-126 and microRNA-182 are related to urinary bladder cancer. In Urologic Oncology: Seminars and Original Investigations (Vol. 28, No. 6, pp. 655-661). Elsevier.
  20. ↑ 20.0 20.1 20.2 Kosaka, N., Izumi, H., Sekine, K., & Ochiya, T. (2010). microRNA as a new immune-regulatory agent in breast milk. Silence, 1(1), 7.
  21. ↑ 21.0 21.1 Chen, X., Liang, H., Zhang, J., Zen, K., & Zhang, C. Y. (2012). Secreted microRNAs: a new form of intercellular communication. Trends in cell biology, 22(3), 125-132.
  22. ↑ Vickers, K. C., Palmisano, B. T., Shoucri, B. M., Shamburek, R. D., & Remaley, A. T. (2011). MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins. Nature cell biology, 13(4), 423.
  23. ↑ 23.0 23.1 Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007). Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nature cell biology, 9(6), 654.
  24. ↑ Turchinovich, A., Samatov, T. R., Tonevitsky, A. G., & Burwinkel, B. (2013). Circulating miRNAs: cell–cell communication function?. Frontiers in genetics, 4.
  25. ↑ Slater, E. P., Strauch, K., Rospleszcz, S., Ramaswamy, A., Esposito, I., Klöppel, G., ... & Bartsch, D. K. (2014). MicroRNA-196a and-196b as potential biomarkers for the early detection of familial pancreatic cancer. Translational oncology, 7(4), 464-471.
  26. ↑ 26.0 26.1 Etheridge, A., Lee, I., Hood, L., Galas, D., & Wang, K. (2011). Extracellular microRNA: a new source of biomarkers. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, 717(1), 85-90.
  27. ↑ Lu, J., Getz, G., Miska, E. A., Alvarez-Saavedra, E., Lamb, J., Peck, D., ... & Downing, J. R. (2005). MicroRNA expression profiles classify human cancers. nature, 435(7043), 834-838.
  28. ↑ Sato, F., Tsuchiya, S., Terasawa, K., & Tsujimoto, G. (2009). Intra-platform repeatability and inter-platform comparability of microRNA microarray technology. PloS one, 4(5), e5540.
  29. ↑ 29.0 29.1 29.2 Callura, J. M., Cantor, C. R., & Collins, J. J. (2012). Genetic switchboard for synthetic biology applications. Proceedings of the National Academy of Sciences, 109(15), 5850-5855.
  30. ↑ 30.0 30.1 Isaacs, F. J., Dwyer, D. J., Ding, C., Pervouchine, D. D., Cantor, C. R., & Collins, J. J. (2004). Engineered riboregulators enable post-transcriptional control of gene expression. Nature biotechnology, 22(7), 841.
  31. ↑ Rodrigo, G., Landrain, T. E., & Jaramillo, A. (2012). De novo automated design of small RNA circuits for engineering synthetic riboregulation in living cells. Proceedings of the National Academy of Sciences, 109(38), 15271-15276.
  32. ↑ Takahashi, M. K., & Lucks, J. B. (2013). A modular strategy for engineering orthogonal chimeric RNA transcription regulators. Nucleic acids research, 41(15), 7577-7588.
  33. ↑ Machinek, R. R., Ouldridge, T. E., Haley, N. E., Bath, J., & Turberfield, A. J. (2014). Programmable energy landscapes for kinetic control of DNA strand displacement. Nature communications, 5, 5324.
  34. ↑ Green, A. A., Silver, P. A., Collins, J. J., & Yin, P. (2014). Toehold switches: de-novo-designed regulators of gene expression. Cell, 159(4), 925-939.