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Full-Text Articles in Molecular Biology

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://works.bepress.com/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://works.bepress.com/gmcnamara/75

is my update of "65" posting

See text at

http://works.bepress.com/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 ...


A Study On Garments Dyeing With Direct Dyes And Pigments In Bangladesh, Tanushree Saha, Rasheda Begum Dina Aug 2015

A Study On Garments Dyeing With Direct Dyes And Pigments In Bangladesh, Tanushree Saha, Rasheda Begum Dina

Innovative Research Publications IRP India

Garment dyeing has been practiced for many years, both commercially and as a home procedure. Recently, interest in this technique has increased since it makes possible to give rapidest response to consumer demand, reduces lead times and inventory. To establish a profitable garment dyeing plant, all manufacturing steps must be carefully controlled. In this paper, we have tried to give an idea about the process of using different types of dyes in garments dyeing and their fastness properties.


Methods Of Detecting Target Nucleic Acids, Amyi Austin Jul 2015

Methods Of Detecting Target Nucleic Acids, Amyi Austin

amyi austin

This paper talks about the methods of measuring target nucleic acids,which includes 5 sections:1.abstract, 2.what to claim,3.background, 4. summary, 5.note


Stellaris Fishing 20131125mon Part 1 Of 2, George Mcnamara Nov 2013

Stellaris Fishing 20131125mon Part 1 Of 2, George Mcnamara

George McNamara

Stellaris FISH dataset using three FISH probe sets. Slides courtesy of Biosearch Technologies,

https://www.biosearchtech.com/store/product.aspx?catid=224,318,324

see http://stellarisfish.smugmug.com/ for online gallery by Biosearch.

This experiment was to evaluate the crosstalk between the Biosearch fluorophores:

Quasar 570

CAL Fluor Red 610 (CFR 610)

Quasar 670

DAPI (DNA counterstain)

Autofluorescence (green, but sometimes showing up in other channels).

and our lab's Leica DMI6000 fluorescence microscope with Leica filter sets:

DAPI

GFP (L5)

Cy3 (N3)

Texas Red (TxRed2)

Cy5 (Y5)

I also acquired green channel and red channel with exciter filters ...


Stellaris Fishing 20131125mon Part 2 Of 2, George Mcnamara Nov 2013

Stellaris Fishing 20131125mon Part 2 Of 2, George Mcnamara

George McNamara

Stellaris FISH dataset using three FISH probe sets.

Slides courtesy of Biosearch Technologies,

https://www.biosearchtech.com/store/product.aspx?catid=224,318,324

see http://stellarisfish.smugmug.com/ for online gallery by Biosearch.

This experiment was to evaluate the crosstalk between the Biosearch fluorophores:

Quasar 570

CAL Fluor Red 610 (CFR 610)

Quasar 670

DAPI (DNA counterstain)

Autofluorescence (green, but sometimes showing up in other channels).

and our lab's Leica DMI6000 fluorescence microscope with Leica filter sets:

DAPI

GFP (L5)

Cy3 (N3)

Texas Red (TxRed2)

Cy5 (Y5)

I also acquired green channel and red channel with exciter filters ...


A Reliable And High Yielding Method For Isolation Of Genomic Dna From Ammi Majus., Sandip S. Magdum Jan 2013

A Reliable And High Yielding Method For Isolation Of Genomic Dna From Ammi Majus., Sandip S. Magdum

Sandip S. Magdum

The developed protocol describes a cheaper, quicker and reliable method for the isolation of pure DNA from medicinal herbs, such as Ammi majus, which produces the secondary metabolites xanthotoxin and berganpectane having immense medicinal importance. Use of CTAB, liquid nitrogen and EDTA in different isolation protocols analyzed for A. majus, all were ended with polysaccharide and protein contamination with low purity of DNA (A260/280 = 1.3 – 1.6), revealed a need for method modification for the inexpensive and rapid isolation of pure DNA. Developed reliable and competent protocol isolated enough pure DNA (A260/280 = 1.81) without following time ...


Effect Of Agrobacterium Induced Necrosis, Antibiotic Induced Phytotoxicity And Other Factors In Successful Plant Transformation., Sandip S. Magdum Jan 2013

Effect Of Agrobacterium Induced Necrosis, Antibiotic Induced Phytotoxicity And Other Factors In Successful Plant Transformation., Sandip S. Magdum

Sandip S. Magdum

Agrobacterium tumefaciens infection and antibiotic wash are the critical steps of Agrobacterium mediated plant transformation procedure, most time responsible for lower transformation efficiency due to necrosis and phytotoxicity caused by biotic stress of Agrobacterium and abiotic stress by antibiotics respectively. Ammi majus Egyptian origin medicinal plant and Pearl millet cereal grain crop were studied for their stress responses to Agrobacterium mediated transformation (AMT). Agrobacterium strains LBA4404 (O.D.=0.6-0.8) and EHA105 (O.D.=0.2-0.4) were used for transformation experiments to infect calli of Ammi majus and embryogenic calli of Pearl millet respectively. Incase of antibiotic wash ...


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.


Genetic Effect Of The Dwarfing Genes On Some Culm Characteristics Associatcd With Lodging Resistance In Bread Wheat, Md. Mahbub Hasan Dec 2009

Genetic Effect Of The Dwarfing Genes On Some Culm Characteristics Associatcd With Lodging Resistance In Bread Wheat, Md. Mahbub Hasan

Md. Mahbub Hasan

Due to the challenge of screening traits related to lodging resistance under natural field conditions, selection for lodging resistant varieties in wheat breeding programs is difficult. The identification of easily measurable culm anatomical traits related to lodging resistance would simplify the selection process. The present study was conducted to determine the effect of dwarfing genes on culm anatomical traits related to lodging resistance in our of basal internode 1. Field and laboratory study was conducted in Shahjalal University of Science and Technology, Sylhet, Bangladesh with eight wheat genotypes having Rhr1, Rht2 dwarfing genes in them and a local land race ...


High-Throughput Protein Purification For X-Ray Crystallography And Nmr, Rachele M. Hendricks-Sturrup Feb 2009

High-Throughput Protein Purification For X-Ray Crystallography And Nmr, Rachele M. Hendricks-Sturrup

Rachele M Hendricks-Sturrup

In structural biology, the most critical issue is the availability of high-quality samples. “Structural-biology-grade” proteins must be generated in a quantity and quality suitable for structure determination using X-ray crystallography or nuclear magnetic resonance. The additional challenge for structural genomics is the need for high numbers of proteins at low cost where protein targets quite often have low sequence similarities, unknown properties and are poorly characterized. The purification procedures must reproducibly yield homogeneous proteins or their derivatives containing marker atom(s) in milligram quantities. The choice of protein purification and handling procedures plays a critical role in obtaining high-quality protein ...


Microproteomics: Analysis Of Protein Diversity In Small Samples, Howard B. Gutstein, Jeffrey S. Morris, Suresh P. Annangudi, Jonathan V. Sweedler Feb 2008

Microproteomics: Analysis Of Protein Diversity In Small Samples, Howard B. Gutstein, Jeffrey S. Morris, Suresh P. Annangudi, Jonathan V. Sweedler

Jeffrey S. Morris

Proteomics, the large-scale study of protein expression in organisms, offers the potential to evaluate global changes in protein expression and their post-translational modifications that take place in response to normal or pathological stimuli. One challenge has been the requirement for substantial amounts of tissue in order to perform comprehensive proteomic characterization. In heterogeneous tissues, such as brain, this has limited the application of proteomic methodologies. Efforts to adapt standard methods of tissue sampling, protein extraction, arraying, and identification are reviewed, with an emphasis on those appropriate to smaller samples ranging in size from several microliters down to single cells. The ...


Analogy Of Issr And Rapd Markers For Comparative Analysis Of Genetic Diversity Among Different Jatropha Curcas Genotypes, Shailesh K. Tiwari Dr. Jan 2008

Analogy Of Issr And Rapd Markers For Comparative Analysis Of Genetic Diversity Among Different Jatropha Curcas Genotypes, Shailesh K. Tiwari Dr.

Shailesh K Tiwari Dr.

The phylogenetic relationships of 13 Jatropha genotypes from different parts of the India were analysed using 34 polymerase chain reaction (PCR) markers (20 random amplified polymorphic DNAs (RAPDs) and 14 inter simple sequence repeats (ISSRs)). Amplification of genomic DNA of the 13 genotypes, using RAPD analysis, yielded 107 fragments that could be scored, of which 91 were polymorphic, with an average of 4.55 polymorphic fragments per primer. Number of amplified fragments ranged from one (OPA20, OPB19, OPD13) to nine (OPA18) and which varied in size from 200 to 2,500 bp. Percentage of polymorphism ranged from 40% (OPB18) to ...


A Kinetic Model For Growth And Biosynthesis Of Medium-Chain-Length Poly-(3-Hydroxyalkanoates) In Pseudomonas Putida, Irene Tan Kit Ping Jan 2008

A Kinetic Model For Growth And Biosynthesis Of Medium-Chain-Length Poly-(3-Hydroxyalkanoates) In Pseudomonas Putida, Irene Tan Kit Ping

Irene Tan Kit Ping

A kinetic model is presented giving a mathematical description of batch culture of Pseudomonas putida PGA1 grown using saponified palm kernel oil as carbon source and ammonium as the limiting nutrient. The growth of the micro-organism is well-described using. Tessier-type model which takes into account the inhibitory effect of ammonium at high concentrations. The ammonium consumption rate by the cells is related ill proportion to the rate of growth. The intracellular production of medium-chain-length poly(3-hydroxyalkanoates) (PHA(MCL)) by P. putida PGA1 cells is reasonably modeled by the modified Luedeking-Piret kinetics, which incorporate a function of product Synthesis inhibition (or ...


Statistical Issues In Proteomic Research, Jeffrey S. Morris Dec 2007

Statistical Issues In Proteomic Research, Jeffrey S. Morris

Jeffrey S. Morris

No abstract provided.


Pre-Processing Mass Spectrometry Data, Kevin R. Coombes, Keith A. Baggerly, Jeffrey S. Morris Jan 2007

Pre-Processing Mass Spectrometry Data, Kevin R. Coombes, Keith A. Baggerly, Jeffrey S. Morris

Jeffrey S. Morris

No abstract provided.


Laser Capture Sampling And Analytical Issues In Proteomics, Howard Gutstein, Jeffrey S. Morris Jan 2007

Laser Capture Sampling And Analytical Issues In Proteomics, Howard Gutstein, Jeffrey S. Morris

Jeffrey S. Morris

Proteomics holds the promise of evaluating global changes in protein expression and post-translational modificaiton in response to environmental stimuli. However, difficulties in achieving cellular anatomic resolution and extracting specific types of proteins from cells have limited the efficacy of these techniques. Laser capture microdissection has provided a solution to the problem of anatomical resolution in tissues. New extraction methodologies have expanded the range of proteins identified in subsequent analyses. This review will examine the application of laser capture microdissection to proteomic tissue sampling, and subsequent extraction of these samples for differential expression analysis. Statistical and other quantitative issues important for ...


Alternative Probeset Definitions For Combining Microarray Data Across Studies Using Different Versions Of Affymetrix Oligonucleotide Arrays, Jeffrey S. Morris, Chunlei Wu, Kevin R. Coombes, Keith A. Baggerly, Jing Wang, Li Zhang Dec 2006

Alternative Probeset Definitions For Combining Microarray Data Across Studies Using Different Versions Of Affymetrix Oligonucleotide Arrays, Jeffrey S. Morris, Chunlei Wu, Kevin R. Coombes, Keith A. Baggerly, Jing Wang, Li Zhang

Jeffrey S. Morris

Many published microarray studies have small to moderate sample sizes, and thus have low statistical power to detect significant relationships between gene expression levels and outcomes of interest. By pooling data across multiple studies, however, we can gain power, enabling us to detect new relationships. This type of pooling is complicated by the fact that gene expression measurements from different microarray platforms are not directly comparable. In this chapter, we discuss two methods for combining information across different versions of Affymetrix oligonucleotide arrays. Each involves a new approach for combining probes on the array into probesets. The first approach involves ...


Prepms: Tof Ms Data Graphical Preprocessing Tool, Yuliya V. Karpievitch, Elizabeth G. Hill, Adam J. Smolka, Jeffrey S. Morris, Kevin R. Coombes, Keith A. Baggerly, Jonas S. Almeida Nov 2006

Prepms: Tof Ms Data Graphical Preprocessing Tool, Yuliya V. Karpievitch, Elizabeth G. Hill, Adam J. Smolka, Jeffrey S. Morris, Kevin R. Coombes, Keith A. Baggerly, Jonas S. Almeida

Jeffrey S. Morris

We introduce a simple-to-use graphical tool that enables researchers to easily prepare time-of-flight mass spectrometry data for analysis. For ease of use, the graphical executable provides default parameter settings experimentally determined to work well in most situations. These values can be changed by the user if desired. PrepMS is a stand-alone application made freely available (open source), and is under the General Public License (GPL). Its graphical user interface, default parameter settings, and display plots allow PrepMS to be used effectively for data preprocessing, peak detection, and visual data quality assessment.


Some Statistical Issues In Microarray Gene Expression Data, Matthew S. Mayo, Byron J. Gajewski, Jeffrey S. Morris Jun 2006

Some Statistical Issues In Microarray Gene Expression Data, Matthew S. Mayo, Byron J. Gajewski, Jeffrey S. Morris

Jeffrey S. Morris

In this paper we discuss some of the statistical issues that should be considered when conducting experiments involving microarray gene expression data. We discuss statistical issues related to preprocessing the data as well as the analysis of the data. Analysis of the data is discussed in three contexts: class comparison, class prediction and class discovery. We also review the methods used in two studies that are using microarray gene expression to assess the effect of exposure to radiofrequency (RF) fields on gene expression. Our intent is to provide a guide for radiation researchers when conducting studies involving microarray gene expression ...


Probability Of Real -Time Detection Vs Probability Of Infection For Aerosolized Biowarfare Agents: A Model Study., Alexander G. Sabelnikov, Vladimir Zhukov, C Ruth Kempf May 2006

Probability Of Real -Time Detection Vs Probability Of Infection For Aerosolized Biowarfare Agents: A Model Study., Alexander G. Sabelnikov, Vladimir Zhukov, C Ruth Kempf

Alexander G Sabelnikov

No abstract provided.


Shrinkage Estimation For Sage Data Using A Mixture Dirichlet Prior, Jeffrey S. Morris, Keith A. Baggerly, Kevin R. Coombes Mar 2006

Shrinkage Estimation For Sage Data Using A Mixture Dirichlet Prior, Jeffrey S. Morris, Keith A. Baggerly, Kevin R. Coombes

Jeffrey S. Morris

Serial Analysis of Gene Expression (SAGE) is a technique for estimating the gene expression profile of a biological sample. Any efficient inference in SAGE must be based upon efficient estimates of these gene expression profiles, which consist of the estimated relative abundances for each mRNA species present in the sample. The data from SAGE experiments are counts for each observed mRNA species, and can be modeled using a multinomial distribution with two characteristics: skewness in the distribution of relative abundances and small sample size relative to the dimension. As a result of these characteristics, a given SAGE sample will fail ...


An Introduction To High-Throughput Bioinformatics Data, Keith A. Baggerly, Kevin R. Coombes, Jeffrey S. Morris Mar 2006

An Introduction To High-Throughput Bioinformatics Data, Keith A. Baggerly, Kevin R. Coombes, Jeffrey S. Morris

Jeffrey S. Morris

High throughput biological assays supply thousands of measurements per sample, and the sheer amount of related data increases the need for better models to enhance inference. Such models, however, are more effective if they take into account the idiosyncracies associated with the specific methods of measurement: where the numbers come from. We illustrate this point by describing three different measurement platforms: microarrays, serial analysis of gene expression (SAGE), and proteomic mass spectrometry.


Bayesian Mixture Models For Gene Expression And Protein Profiles, Michele Guindani, Kim-Anh Do, Peter Mueller, Jeffrey S. Morris Mar 2006

Bayesian Mixture Models For Gene Expression And Protein Profiles, Michele Guindani, Kim-Anh Do, Peter Mueller, Jeffrey S. Morris

Jeffrey S. Morris

We review the use of semi-parametric mixture models for Bayesian inference in high throughput genomic data. We discuss three specific approaches for microarray data, for protein mass spectrometry experiments, and for SAGE data. For the microarray data and the protein mass spectrometry we assume group comparison experiments, i.e., experiments that seek to identify genes and proteins that are differentially expressed across two biologic conditions of interest. For the SAGE data example we consider inference for a single biologic sample.


Analysis Of Mass Spectrometry Data Using Bayesian Wavelet-Based Functional Mixed Models, Jeffrey S. Morris, Philip J. Brown, Keith A. Baggerly, Kevin R. Coombes Mar 2006

Analysis Of Mass Spectrometry Data Using Bayesian Wavelet-Based Functional Mixed Models, Jeffrey S. Morris, Philip J. Brown, Keith A. Baggerly, Kevin R. Coombes

Jeffrey S. Morris

In this chapter, we demonstrate how to analyze MALDI-TOF/SELDITOF mass spectrometry data using the wavelet-based functional mixed model introduced by Morris and Carroll (2006), which generalizes the linear mixed models to the case of functional data. This approach models each spectrum as a function, and is very general, accommodating a broad class of experimental designs and allowing one to model nonparametric functional effects for various factors, which can be conditions of interest (e.g. cancer/normal) or experimental factors (blocking factors). Inference on these functional effects allows us to identify protein peaks related to various outcomes of interest, including ...


Improved Peak Detection And Quantification Of Mass Spectrometry Data Acquired From Surface-Enhanced Laser Desorption And Ionization By Denoising Spectra With The Undecimated Discrete Wavelet Transform, Kevin R. Coombes, Spiros Tsavachidis, Jeffrey S. Morris, Keith A. Baggerly, Henry M. Kuerer Dec 2005

Improved Peak Detection And Quantification Of Mass Spectrometry Data Acquired From Surface-Enhanced Laser Desorption And Ionization By Denoising Spectra With The Undecimated Discrete Wavelet Transform, Kevin R. Coombes, Spiros Tsavachidis, Jeffrey S. Morris, Keith A. Baggerly, Henry M. Kuerer

Jeffrey S. Morris

Background: Mass spectrometry, especially surface enhanced laser desorption and ionization (SELDI) is increasingly being used to find disease-related proteomic patterns in complex mixtures of proteins derived from tissue samples or from easily obtained biological fluids such as serum, urine, or nipple aspirate fluid. Questions have been raised about the reproducibility and reliability of peak quantifications using this technology. For example, Yasui and colleagues opted to replace continuous measures of the size of a peak by a simple binary indicator of its presence or absence in their analysis of a set of spectra from prostate cancer patients.

Methods: We collected nipple ...


Pooling Information Across Different Studies And Oligonucleotide Microarray Chip Types To Identify Prognostic Genes For Lung Cancer., Jeffrey S. Morris, Guosheng Yin, Keith A. Baggerly, Chunlei Wu, Li Zhang Dec 2005

Pooling Information Across Different Studies And Oligonucleotide Microarray Chip Types To Identify Prognostic Genes For Lung Cancer., Jeffrey S. Morris, Guosheng Yin, Keith A. Baggerly, Chunlei Wu, Li Zhang

Jeffrey S. Morris

Our goal in this work is to pool information across microarray studies conducted at different institutions using two different versions of Affymetrix chips to identify genes whose expression levels offer information on lung cancer patients’ survival above and beyond the information provided by readily available clinical covariates. We combine information across chip types by identifying “matching probes” present on both chips, and then assembling them into new probesets based on Unigene clusters. This method yields comparable expression level quantifications across chips without sacrificing much precision or significantly altering the relative ordering of the samples. We fit a series of multivariable ...


Serum Proteomics Profiling: A Young Technology Begins To Mature, Kevin R. Coombes, Jeffrey S. Morris, Jianhua Hu, Sarah R. Edmondson, Keith A. Baggerly Mar 2005

Serum Proteomics Profiling: A Young Technology Begins To Mature, Kevin R. Coombes, Jeffrey S. Morris, Jianhua Hu, Sarah R. Edmondson, Keith A. Baggerly

Jeffrey S. Morris

No abstract provided.


Signal In Noise: Evaluating Reported Reproducibility Of Serum Proteomic Tests For Ovarian Cancer, Keith A. Baggerly, Jeffrey S. Morris, Sarah R. Edmonson, Kevin R. Coombes Feb 2005

Signal In Noise: Evaluating Reported Reproducibility Of Serum Proteomic Tests For Ovarian Cancer, Keith A. Baggerly, Jeffrey S. Morris, Sarah R. Edmonson, Kevin R. Coombes

Jeffrey S. Morris

Proteomic profi ling of serum initially appeared to be dramatically effective for diagnosis of early-stage ovarian cancer, but these results have proven diffi cult to reproduce. A recent publication reported good classifi cation in one dataset using results from training on a much earlier dataset, but the authors have since reported that they did not perform the analysis as described. We examined the reproducibility of the proteomic patterns across datasets in more detail. Our analysis reveals that the pattern that enabled successful classifi cation is biologically implausible and that the method, properly applied, does not classify the data accurately. We ...