A novel live study in a 3-D microfluidic model using multicolored quantum dot(QD) tagged probes: for imaging multiple protein(s) interactions whether activators/inhibitors or '' bind / non-bind '' using surface-enhanced Raman spectroscopy (SERS), multi

Funding Type: 
SEED Grant
Grant Number: 
RS1-00465
Investigator: 
ICOC Funds Committed: 
$0
Public Abstract: 
Could you image how many stars in the universe? Too many to count ! Molecules/proteins are just like the stars in the universe from where only a few of molecules/proteins are critical to help differentiate human embryonic stem cells into various cell types of our choices, such as brain cells for stroke victims, heart muscle cells for heart attack patients and so forth. These few molecules can be the drugs which are of significant therapeutic potential. Our great challenge has been that how to search and identify only few essential molecules/proteins from massive molecular banks of the universe. Frankly, our conventional ways of doing molecular biological researches have difficulty in meeting this challenge, mainly because conventional methodologies are not conducting researches in the natural ways; Research Scientists are pre-occupied with a narrowed mind and view limited to one or two genes at a time such that all they see just the tips of Icebergs and may have underestimated the whole picture of dynamic, versatile gene signal pathways. The secrets of Stem Cell embryos which developed billions years ago are dynamic and versatile, which are truly what we see underneath the tips of Glacier Icebergs. This may explain why it took many years of researches based upon conventional methodologies in collaboration of many academic laboratories just to piece together the '' real players '' involved in just one single gene pathway not to mention we have many genes with " awaiting to be identified '' functions/pathways and interactions. The secrets of Stem Cell Embryos which developed billions years ago should be studied in living Stem Cell(s) in a dynamic and real time modes to meet this challenge. We design a 3-D microfluidic cell sorting system to streamline this approach. Our novel step-by-step live approach in a 3-D microfluidic model, if validated with conventionally proven signal pathways will provide compelling rationales to establish comprehensive QD tagged cDNA libraries of various sources which will help us find and create novel markers for stem cell progenitors, identify molecules for regulation and manipulation, elucidate the important stem cell pathways as they are activated and examine their effect in the differentiation process. More importantly, we can streamline to search and identify the drugs with therapeutic potential from comprehensive QD tagged cDNA libraries in living Stem Cell(s).
Statement of Benefit to California: 
Our great challenge has been that how to search and identify only few essential molecules/proteins from massive molecular banks of the universe. Frankly, our conventional ways of doing molecular biological researches have difficulty in meeting this challenge, mainly because conventional methodologies are not conducting researches in the natural ways. The secrets of Stem Cell embryos which developed billions years ago are dynamic and versatile, which are truly what we see underneath the tips of Glacier Icebergs. The secrets of Stem Cell Embryos should be studied in living Stem Cell(s) in a dynamic and real time modes to meet this challenge. Our proposed novel physiologically real time study inside living Stem Cell(s) if validated with '' conventionally proven signal pathways '' will provide compelling rationales to establish comprehensive QD tagged cDNA libraries of various sources which will help us find and create novel markers for stem cell progenitors, identify molecules for regulation and manipulation, elucidate the important stem cell pathways as they are activated and examine their effect in the differentiation process. More importantly, we can streamline to search and identify the drugs with therapeutic potential from comprehensive QD tagged cDNA libraries in living Stem Cell(s).

© 2013 California Institute for Regenerative Medicine