GWHS Student, TIFFANY LIU

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GWHS Student, TIFFANY LIU
 
Tiffany published a research paper entitled
Proteomic Analyses of Pancreatic Cyst Fluids.
This was done at the Fox Chase Cancer Center.
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A brief abstract
Ke E, Patel BB, Liu T, Li XM, Haluszka O, Hoffman
JP, Ehya H, Young NA, Watson JC, Weinberg DS,
Nguyen MT, Cohen SJ, Meropol NJ, Litwin S, Tokar
JL, Yeung AT.   From the Divisions of Basic
Science, daggerMedical Science, and double
daggerPopulation Science, Fox Chase Cancer
Center, Philadelphia, PA.   OBJECTIVES There are
currently no diagnostic indicators that are
consistently reliable, obtainable, and conclusive
for diagnosing and risk-stratifying pancreatic
cysts. Proteomic analyses were performed to
explore pancreatic cyst fluids to yield effective
diagnostic biomarkers. METHODS We have
prospectively recruited 20 research participants
and prepared their pancreatic cyst fluids
specifically for proteomic analyses. Proteomic
approaches applied were as follows (1)
matrix-assisted laser-desorption-ionization
time-of-flight mass spectrometry peptidomics with
LC/MS/MS (HPLC-tandem mass spectrometry) protein
identification (2) 2-dimensional gel
electrophoresis (3) GeLC/MS/MS (tryptic
digestion of proteins fractionated by sodium
dodecyl sulfate-polyacrylamide gel
electrophoresis and identified by LC/MS/MS).
RESULTS Sequencing of more than 350 free
peptides showed that exopeptidase activities
rendered peptidomics of cyst fluids unreliable
protein nicking by proteases in the cyst fluids
produced hundreds of protein spots from the major
proteins, making 2-dimensional gel proteomics
unmanageable GeLC/MS/MS revealed a panel of
potential biomarker proteins that correlated with
carcinoembryonic antigen (CEA). CONCLUSIONS Two
homologs of amylase, solubilized molecules of 4
mucins, 4 solubilized CEA-related cell adhesion
molecules (CEACAMs), and 4 S100 homologs may be
candidate biomarkers to facilitate future
pancreatic cyst diagnosis and risk-stratification.
This approach required less than 40 microL of
cyst fluid per sample, offering the possibility
to analyze cysts smaller than 1 cm in
diameter.   We have submitted a grant proposal to
NCI to continue this work.
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  Her second project concerns an attempt to cure
all human parasites with one approach, targeting
the single pathway most human parasites use for
making their DNA and RNA.   Ke E, Patel BB, Liu
T, Li XM, Haluszka O, Hoffman JP, Ehya H, Young
NA, Watson JC, Weinberg DS, Nguyen MT, Cohen SJ,
Meropol NJ, Litwin S, Tokar JL, Yeung AT.   From
the Divisions of Basic Science, daggerMedical
Science, and double daggerPopulation Science, Fox
Chase Cancer Center, Philadelphia,
PA.   OBJECTIVES There are currently no
diagnostic indicators that are consistently
reliable, obtainable, and conclusive for
diagnosing and risk-stratifying pancreatic cysts.
Proteomic analyses were performed to explore
pancreatic cyst fluids to yield effective
diagnostic biomarkers. METHODS We have
prospectively recruited 20 research participants
and prepared their pancreatic cyst fluids
specifically for proteomic analyses. Proteomic
approaches applied were as follows (1)
matrix-assisted laser-desorption-ionization
time-of-flight mass spectrometry peptidomics with
LC/MS/MS (HPLC-tandem mass spectrometry) protein
identification (2) 2-dimensional gel
electrophoresis (3) GeLC/MS/MS (tryptic
digestion of proteins fractionated by sodium
dodecyl sulfate-polyacrylamide gel
electrophoresis and identified by LC/MS/MS).
RESULTS Sequencing of more than 350 free
peptides showed that exopeptidase activities
rendered peptidomics of cyst fluids unreliable
protein nicking by proteases in the cyst fluids
produced hundreds of protein spots from the major
proteins, making 2-dimensional gel proteomics
unmanageable GeLC/MS/MS revealed a panel of
potential biomarker proteins that correlated with
carcinoembryonic antigen (CEA). CONCLUSIONS Two
homologs of amylase, solubilized molecules of 4
mucins, 4 solubilized CEA-related cell adhesion
molecules (CEACAMs), and 4 S100 homologs may be
candidate biomarkers to facilitate future
pancreatic cyst diagnosis and risk-stratification.
This approach required less than 40 microL of
cyst fluid per sample, offering the possibility
to analyze cysts smaller than 1 cm in diameter.
Learn more. http//www.ncbi.nlm.nih.gov/pubmed/191
36908