Asok dikshit early detection of cancer cells


Published on

Published in: Business, Technology
  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Asok dikshit early detection of cancer cells

  1. 1. Early Detection of Cancer Cell Optical Sensor Dr.Asok K.Dikshit Glocal University Saharanpur, UP
  2. 2. Cancer pathology ● It is a generic group of diseases ● It can affect different parts body Why Cancer occurs? It is mutations in genes that control cell cycles Types of cancer cell Four types ● Uncontrolled growth of Cell ● Invasion of adjacent tissue ● Merastasis-spreading to other locations in the body
  3. 3. All cancer cells show irregular cell cycle control Tumor has size grown 1 mm, it develops new blood vessels (angiogenesis) Nanoparticles applications in three major area: ● Drug and gene delivery ● Biosensing ● Bioimaging
  4. 4. Nano particles in Biosensing Protein–nanoparticle conjugation by Electrostatic targeting of ChT by anionic Nanoparticles effectively binds with protein Complexation of ChT with anionic nanoparticles and its release mechanisms by addition of various surfactants NP;
  5. 5. Nanoparticles makes them excellent materials for Forster resonance energy transfer (FRET)based biosensors In this approach, the dye molecule is on the surface of the nanoparticle surface in the absence of the target DNA strand /cell due to hairpin structure of the attached DNA, resulting in fluorescence. Silica NP Silica NP
  6. 6. Ref: A.K.Dikshit, Optical Materials, 34,1054,2012 (A) Normal cells only have a small amount of HER2 on their surface. (B) In 25% of invasive breast cancers, cells malfunctioning Biomarkers of cancer include proteins over expressed in blood and serum or at the surface of cancer cells that facilitate diagnosis. HER2 is a receptor of tyrosine kinase family No biomarker has been established as an‘‘ideal’’ cancer screening tool because of the lack of sensitivity and specificity of the current tests. have gene a that causes too much HER2 on their surface.
  7. 7. FE SEM images of the insitu fabricated silica nanoparticles (SiNP) TEM images of the enzyme labelled SiNP probes (a) and bare SiNPs (b) TEM images of the labelled silica naoparticles ( SiNP)
  8. 8. TEM diffraction images of the SiNP Fluorescence: A light emission is provoked by the excitation of certain molecules called fluorophores. Biological imaging using fluorophores for the diagnostic and imaging of cancer cells in microamounts for earlier detection. When conjugated with target molecules, fluorophores can be attached to cancer biomarkers or cancer cells allowing the detection of cancer.
  9. 9. Reference: (1) A.K.Dikshit, Optical Materials, 34,1054,2012 (2) A.K.Dikshit et al, Optical Materials, 35, 78, 2013 Proposed Sensor probe Silica NPs (SiNPs) are electroactive and have been used for biomarker detection Laser dye attached Silica nanoparticles Laser dye attached Silica nanoparticles
  10. 10. Cancer cells can produce on their surface an abnormal quantity of proteins, receptors or specific enzymes. These over expressed components can be detected and bound in order to detect, isolate, quantify and destroy tumour cells by Si NP. As an example, HER2 is a receptor of tyrosine kinase family. An over expression of HER2 is present in 25% of invasive breast cancer cells. The detection of cancer cells via the use of nanoparticles is an emerging sensor The interaction of antigen and antibody provoked an emission of fluorescence from silica NPs. This fluorescence has been analysed by laser scanning microscopy and Fluorescence spectrophotometer.
  11. 11. Advantages: (I)Low Cost, and low quantity sample needed (II)NPs can be incorporated into user-friendly devices (III) Immunoassays using NPs are very specific and sensitive This Optical Sensor probe can detect cancer cell in micro amounts by optical imaging in the early stage. Looking forward collaboration with 1.Mastrict Clinic, Netherland 2. National Cancer Institute(NCI),USA .
  12. 12. Thank you