* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download (Affinity and SRM) assays for detection of potential biomarkers for
Survey
Document related concepts
Protein domain wikipedia , lookup
Protein folding wikipedia , lookup
Homology modeling wikipedia , lookup
Degradomics wikipedia , lookup
Protein structure prediction wikipedia , lookup
Immunoprecipitation wikipedia , lookup
List of types of proteins wikipedia , lookup
Bimolecular fluorescence complementation wikipedia , lookup
Protein moonlighting wikipedia , lookup
Polycomb Group Proteins and Cancer wikipedia , lookup
Protein purification wikipedia , lookup
Intrinsically disordered proteins wikipedia , lookup
Nuclear magnetic resonance spectroscopy of proteins wikipedia , lookup
Protein–protein interaction wikipedia , lookup
Transcript
Developing AFFIRM (Affinity and SRM) assays for detection of potential biomarkers for relapsed breast cancer in plasma Breast cancer is the leading cancer in women worldwide. Every year, 1.6 million women are diagnosed with it, out of which 58% die due to the cancer. The incidence is rising rapidly in developing countries. Even though there are several treatments, inability to detect the cancer at an early stage limits the possibilities of curing it in time. After a patient has been treated for cancer and has completed his/ her treatment they are happy to have won the biggest battle of their life and survived it. But after a few months or a year, or even several years, they are struck by the news from the doctor that the cancer is back, which is called a relapse. In most breast cancer cases, death is caused from the relapse rather than the initial cancer. Therefore, it is necessary to develop methods which detect the relapse early and ensure appropriate treatment can be given or relapse can be prevented. The most easily available sample for testing is plasma from the patient’s blood. Presence of cancer can be detected by testing for certain protein biomarkers (target proteins) that would be present in the plasma in case the patient is suffering from the cancer or if the cancer is relapsing. Antibodies are proteins that possess the property to bind specifically to targets. Since they are highly sensitive and bind only to their targets, they are used to detect presence of proteins. ELISA is a standard methods used to confirm presence of biomarkers. ELISA used 2 antibodies- primary to bind the target specifically and secondary antibody which a fluorescent tag to measure the amount of bound target protein. Such antibody- based methods are sensitive but are available only for a few proteins and developing them is very demanding and expensive. We have therefore developed assays for another technology. Mass spectrometry is a technology that identifies proteins based on their mass to charge ratio. Digesting a protein with an enzyme like Trypsin results in fragments of the protein called peptides. The type of Mass spectrometry that was used in this study is called Selected Reaction Monitoring (SRM), where we specify to the instrument the peptides that are unique to the target protein and it would detect only these peptides. It is a much easier and faster technique as SRM looks for the specific peptides rather than scanning all the peptides and then identifying the target. AFFIRM is a platform that combines antibody and mass spectrometry technologies to detect and quantify proteins. We produced antibodies that would bind specifically to the target proteins and the antibodies were bound to magnetic beads. When the beads carrying the antibodies were exposed to the plasma spiked with the artificial target proteins, the targets bind to the antibody. This is followed by digestion by an enzyme like Trypsin to cut the protein into several peptides. The sample is then analyzed using the SRM. Development of SRM assays for each of the 30 target proteins was attempted and 19 of them were successfully developed. SRM assays help to pin point if a protein is present in the sample or not, and does it even when the protein content is quite low (sensitive). This way we can identify at a much faster rate that the person is suffering from breast cancer relapse. The developed assays showed promising results in lab tests; it would next be confirmed using labelled heavy peptides. We aim to apply the developed assays to clinical samples from breast cancer patients collected at primary diagnosis and at later recurrence. If successful, it has potential to speed-up the diagnosis process for breast cancer relapse.