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Mcnamara 201412 Nih Scap Innocentive Challenge Solution - T-Bow Rainbow T-Cells And Tumor Cells Spatial Multiplexing Gene Expression Reporter System – Plus Supplement Plus Posters - 20151027 - Please Download "75" Instead, George Mcnamara Oct 2015

Mcnamara 201412 Nih Scap Innocentive Challenge Solution - T-Bow Rainbow T-Cells And Tumor Cells Spatial Multiplexing Gene Expression Reporter System – Plus Supplement Plus Posters - 20151027 - Please Download "75" Instead, George Mcnamara

George McNamara

McNamara 201412 NIH SCAP InnoCentive Challenge Solution - T-Bow Rainbow T-cells and Tumor Cells Spatial Multiplexing Gene Expression Reporter System – plus supplement plus posters - 20151027.

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Please download the current 20151027 (October 27, 2015) Tattletales and T-Bow update from

http://0-works.bepress.com.library.simmons.edu/gmcnamara/75/

The bepress web site is not letting me replace the old pdf here at "65" with the additional 10 pages update.

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The download is my/Cooper lab solution (submission) to the 2014 NIH Single Cell Analysis Program (SCAP) InnoCentive Challenge, "Follow That Cell". I submitted the Solution on 20141215Mon (with 20 minutes to spare). The Challenge web ...


Tattletales And T-Bow Update 20151027tue, George Mcnamara Oct 2015

Tattletales And T-Bow Update 20151027tue, George Mcnamara

George McNamara

20151027Tue this "75"

http://0-works.bepress.com.library.simmons.edu/gmcnamara/75

is my update of "65" posting

See text at

http://0-works.bepress.com.library.simmons.edu/gmcnamara/65/

for text summary. The PDf here in "75" supersedes "65".

The PDF here has 10 pages added to the end from the "65" version (pages 40-49 of PDF when including the bepress cover page)..

here is the text in my cover page (bepress may add its own cover):

20151027Tue: added 10 page e-poster at bottom explaining Binary Tattletales and T-Bow. That is, binary with respect to protein components. For one color (number of repeats, epitope tags ...


Microfabricated Nanotopological Surfaces For Study Of Adhesion-Dependent Cell Mechanosensitivity, Weiqiang Chen, Yubing Sun, Jianping Fu Jan 2013

Microfabricated Nanotopological Surfaces For Study Of Adhesion-Dependent Cell Mechanosensitivity, Weiqiang Chen, Yubing Sun, Jianping Fu

Weiqiang Chen

Cells exhibit high sensitivity and diverse responses to the intrinsic nanotopography of the extracellular matrix through their nanoscale cellular sensing machinery. A simple microfabrication method for precise control and spatial patterning of the local nanoroughness on glass surfaces by using photolithography and reactive ion etching is reported. It is demonstrated that local nanoroughness as a biophysical cue could regulate a diverse array of NIH/3T3 fi broblast behaviors, including cell morphology, adhesion, proliferation, migration, and cytoskeleton contractility. The capability to control and further predict cellular responses to nanoroughness might suggest novel methods for developing biomaterials mimicking nanotopographic structures in vivo ...


Nanoroughened Surfaces For Efficient Capture Of Circulating Tumor Cells Without Using Capture Antibodies, Weiqiang Chen, Shinuo Weng, Feng Zhang, Steven Allen, Xiang Li, Liwei Bao, Raymond H. W. Lam, Jill A. Macoska, Sofia D. Merajver, Jianping Fu Nov 2012

Nanoroughened Surfaces For Efficient Capture Of Circulating Tumor Cells Without Using Capture Antibodies, Weiqiang Chen, Shinuo Weng, Feng Zhang, Steven Allen, Xiang Li, Liwei Bao, Raymond H. W. Lam, Jill A. Macoska, Sofia D. Merajver, Jianping Fu

Weiqiang Chen

Circulating tumor cells (CTCs) detached from both primary and metastatic lesions represent a potential alternative to invasive biopsies as a source of tumor tissue for the detection, characterization and monitoring of cancers. Here we report a simple yet effective strategy for capturing CTCs without using capture antibodies. Our method uniquely utilized the differential adhesion preference of cancer cells to nanorough surfaces when compared to normal blood cells and thus did not depend on their physical size or surface protein expression, a significant advantage as compared to other existing CTC capture techniques.


Nanotopography Influences Adhesion, Spreading, And Self-Renewal Of Human Embryonic Stem Cells, Weiqiang Chen, Luis G. Villa-Diaz, Yubing Sun, Shinuo Weng, Jin Koo Kim, Raymond H. W. Lam, Lin Han, Rong Fan, Paul H. Krebsbach, Jianping Fu Apr 2012

Nanotopography Influences Adhesion, Spreading, And Self-Renewal Of Human Embryonic Stem Cells, Weiqiang Chen, Luis G. Villa-Diaz, Yubing Sun, Shinuo Weng, Jin Koo Kim, Raymond H. W. Lam, Lin Han, Rong Fan, Paul H. Krebsbach, Jianping Fu

Weiqiang Chen

Human embryonic stem cells (hESCs) have great potentials for future cell-based therapeutics. However, their mechanosensitivity to biophysical signals from the cellular microenvironment is not well characterized. Here we introduced an effective microfabrication strategy for accurate control and patterning of nanoroughness on glass surfaces. Our results demonstrated that nanotopography could provide a potent regulatory signal over different hESC behaviors, including cell morphology, adhesion, proliferation, clonal expansion, and self-renewal. Our results indicated that topological sensing of hESCs might include feedback regulation involving mechanosensory integrin-mediated cell matrix adhesion, myosin II, and E-cadherin. Our results also demonstrated that cellular responses to nanotopography were cell-type ...


Integrative Bayesian Analysis Of High-Dimensional Multi-Platform Genomics Data, Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju C. Manyam, Kim-Anh Do Jan 2012

Integrative Bayesian Analysis Of High-Dimensional Multi-Platform Genomics Data, Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju C. Manyam, Kim-Anh Do

Jeffrey S. Morris

Motivation: Analyzing data from multi-platform genomics experiments combined with patients’ clinical outcomes helps us understand the complex biological processes that characterize a disease, as well as how these processes relate to the development of the disease. Current integration approaches that treat the data are limited in that they do not consider the fundamental biological relationships that exist among the data from platforms.

Statistical Model: We propose an integrative Bayesian analysis of genomics data (iBAG) framework for identifying important genes/biomarkers that are associated with clinical outcome. This framework uses a hierarchical modeling technique to combine the data obtained from multiple ...


Hslic Fall 2012 Scholarship Committee Report, Ann Jordan Jan 2012

Hslic Fall 2012 Scholarship Committee Report, Ann Jordan

Ann Jordan

No abstract provided.