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Recent News and Articles on the Keywords: could predict + predict cells + mit  Related to the article below (Last Update: 7/8/2008)


ZNet
The Action Faction
ZNet, MA - Jul 2, 2008
You can't look at only one or two to predict outcomes. You can, however, predict large-scale market biases if you pay attention to overarching power ...
Altenberg 16: An Expos? Of The Evolution Industry
Scoop.co.nz, New Zealand - Jul 5, 2008
But because Pigliucci also wears the hat of philosopher, it?s tough to predict the extent of his influence in the EES MIT book (Chapter 6, ...
Primary Tumors Can Drive The Growth Of Distant Cancers
Science Daily (press release) - Jun 12, 2008
... allow one to predict the effects that a given primary tumor type has on the outgrowth of indolent cancer cells that have disseminated to distant sites. ...
Scientists Decode and Rewire Bacterial Communication Pathways
GenomeWeb News (subscription), NY - Jun 12, 2008
Based on their analysis of roughly 1300 kinase-regulator pairs, Laub and his colleagues were able to predict which part of the histidine kinase mediates its ...
GlaxoSmithKline, caBIG, SGI, Mitrionics, Nallatech, Fabrus, Core ...
bio1nf0rm (subscription), NY - Jun 20, 2008
ADMET Predictor will allow the EPA to predict a number of potential toxicities for industry chemicals, agricultural chemicals, and drug molecules plus ...IFUL - MSFT
Forever Young
Reason Online, CA - Jun 11, 2008
That, he notes, is the same number that alarmists like Paul Ehrlich used to predict for the middle of this century. Olshansky thinks that 100 years will ...
Discovery Channel's Storm Chasers stop in Denison Wednesday on a ...
Denison Bulletin, Iowa - Jun 13, 2008
"We want to be able to predict why some are strong and some are weak," he stated. Wurman added, "The lead time to warn people about tornadoes is 13 minutes. ...
New Computational Method Predicts Anti-cancer Molecules
OBBeC.com, UK - Jun 17, 2008
According to the report, the new method has been used to correctly predict the anti-tumour activity of several molecules. Research published this week in ...
Source: Google News

Gene Expression Profiles Predict Complete Pathologic Response to Neoadjuvant Paclitaxel and … -
M Ayers, WF Symmans, J Stec, AI Damokosh, E Clark, … - Journal of Clinical Oncology, 2004 - jcojournal.org
... a proximal role in the biologic function that they predict. ... individual regimens each
of which could be tested ... large B-cell lymphoma outcome prediction by gene ...

[PDF] Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine … -
MA Shipp, KN Ross, P Tamayo, AP Weng, JL Kutok, … - Nature Medicine, 2002 - broad.mit.edu
... a gene- expression?based model and predict the class of ... P < 1 ? 10 ?9 compared with
random prediction). ... the outcome of HI-risk patients could be further ...
-

[PDF] Gene-expression profiles predict survival of patients with lung adenocarcinoma -
DG Beer, SL Kardia, CC Huang, TJ Giordano, AM … - Nat Med, 2002 - genomics.ctrl.ucla.edu
... determine whether gene-expression pro- files could predict survival using ... dataset
A at www.genome.wi.mit.edu/MPR ... located within the neoplas- tic cells and the ...
-

Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with … -
JC Chang, EC Wooten, A Tsimelzon, SG Hilsenbeck, … - The Lancet, 2003 - Elsevier
... Gene expression profiling for the prediction of therapeutic ... patterns of many genes
that could be used ... its amplification has been shown to predict resistance to ...

Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic … -
EJ Yeoh, ME Ross, SA Shurtleff, WK Williams, D … - Cancer Cell, 2002 - Elsevier
... to arise from a hematopoietic stem cell that is ... of the original ALL blasts could
predict the risk ... The significance of the prediction accuracy was determined by ...

A model of how the basal ganglia generate and use neural signals that predict reinforcement
JC Houk, JL Adams, AG Barto - Models of information processing in the basal ganglia, 1995 - books.google.com
... response that would represent the prediction P-2 ... to suggest how these modules could
ultimately learn ... 261 Houk et al.: Neural Signals That Predict Reinforcement ...

A Systems Model of Signaling Identifies a Molecular Basis Set for Cytokine-Induced Apoptosis -
KA Janes, JG Albeck, S Gaudet, PK Sorger, DA … - Science, 2005 - sciencemag.org
... 3B), indicating that the model could predict the contributions of ... and TNF+IL-1ra
stimuli (prediction within 91 ... most apoptotic outputs in cells responding to TNF ...

Individual Differences in Prefrontal Activation Asymmetry Predict Natural Killer Cell Activity at … -
RJ Davidson, CC Coe, I Dolski, B Donzella - Brain Behavior and Immunity, 1999 - Elsevier
... of day for both sessions, but could be sched ... to those reported above for the prediction
of final ... films, we computed separate regressions to predict NK function ...

p53 Mutations Do Not Predict Response to Paditaxel/Radiation for Nonsmall Cell Lung Carcinoma -
H Safran, H Choy, A Gollerkeri, H Kwakwa, F Lopez, … - CANCER, 1996 - doi.wiley.com
... example of p53 muta- tions failing to predict response the ... and L3 acute lymphatic
leukemia Our findings could be explained if tumor cell kill- ing ...

A Mobile Robot That Learns Its Place -
S Oore, GE Hinton, G Dudek - Neural Computation, 1997 - MIT Press
... to predict locations from sonar readings, we could predict in the ... signatures, even
if many other cells had a ... estimation will yield a biased prediction of the ...

Source: Google Scholar

MIT model could predict cells' response to drugs

Work could lead to targeted therapies

Anne Trafton, News Office
July 26, 2007

CAMBRIDGE, Mass. - MIT researchers have developed a model that could predict how cells will respond to targeted drug therapies. Models based on this approach could help doctors make better treatment choices for individual patients, who often respond differently to the same drug, and could help drug developers identify the ideal compounds on which to focus their research.

In addition, the model could help test the effectiveness of drugs for a wide range of diseases, including various kinds of cancer, arthritis and immune system disorders, according to Douglas Lauffenburger, MIT professor of biological engineering and head of the department. Lauffenburger is senior author of a paper on the new model that will appear in the Aug. 2 issue of Nature.

The model is based on similarities in the signaling pathways cells use to process information. Those pathways translate cells' environmental stimuli, such as hormones, drugs or other molecules, into action.

"Cells undertake behavioral functions--proliferation, differentiation, death--in response to stimuli in their environment," said Lauffenburger. "The signaling pathways are the biomolecular circuits that process that information from the environment and regulate the mechanisms that execute the behavorial functions."

The pathways work via a series of signals in which proteins, known as kinases, activate other cell machinery to achieve a specific result, e.g., expression of certain genes, or actions of cytoskeletal proteins. While the same stimuli can produce diverse responses in different types of cells, the researchers believe they can use the same core pathways to achieve various end results.

Lauffenburger compared a cell's strategy to playing a piano: Just as there are 88 keys that can be played in a vast number of combinations to produce different melodies, cells can use their multiple pathways together in many different combinations to produce different behaviors.

One of the key questions that Lauffenburger's group tackled was understanding the way in which cells interpret the signals they receive and how they arrive at the correct result.
The researchers approached the problem quantitatively, measuring activity levels in five major signaling pathways after colon epithelial cells were exposed to a variety of environmental stimuli. The behavioral outcome--cell death, inflammatory cytokine production, etc., was also measured.

Using that data, they constructed a model correlating outcomes with the combined levels of activity in the multiple pathways. The model was then used to correctly predict what would happen to two other types of epithelial cells when exposed to the same stimuli.

"Cells appear to be adding up information across multiple pathways in a common manner, even though the outcome of the calculations is different because the pathway activities are different," said Lauffenburger.

The researchers also tested the model on a type of blood cell, but in this case, it failed to accurately predict behavioral outcomes. The fact that a model developed with colon epithelial cells only worked for other types of epithelial cells is not surprising because different tissue types process information in different ways, Lauffenburger said.

To develop safe and effective drugs, researchers need to be able to understand how a drug works in the context of a network governing cell functions, not just its effect on an individual molecule. Lauffenburger envisions that drug companies could use this kind of model to test the effects of drugs that inhibit some step in a particular pathway.

The lead authors on the paper are former MIT doctoral students Kathryn Miller-Jensen and Kevin Janes. Joan Brugge, a faculty member at Harvard Medical School, is also an author.

The research was funded by the National Institute of General Medical Sciences Cell Decision Processes Center, the University of California at Santa Barbara-CalTech-MIT Institute for Collaborative Biotechnologies and the MIT Biotechnology Process Engineering Center.

 
 
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