High-throughput engineering of the mouse genome coupled with high-resolution expression analysis

2003 ◽  
Vol 21 (6) ◽  
pp. 652-659 ◽  
Author(s):  
David M Valenzuela ◽  
Andrew J Murphy ◽  
David Frendewey ◽  
Nicholas W Gale ◽  
Aris N Economides ◽  
...  
Keyword(s):  
High Resolution ◽  
Expression Analysis ◽  
High Throughput ◽  
Mouse Genome

scholarly journals Erratum: High-throughput engineering of the mouse genome coupled with high-resolution expression analysis

2003 ◽  
Vol 21 (7) ◽  
pp. 822-822
Author(s):  
David M Valenzuela ◽  
Andrew J Murphy ◽  
David Frendewey ◽  
Nicholas W Gale ◽  
Aris N Economides ◽  
...  
Keyword(s):  
High Resolution ◽  
Expression Analysis ◽  
High Throughput ◽  
Mouse Genome

scholarly journals High-throughput microsatellite analysis using fluorescent dUTPs for high-resolution genetic mapping of the mouse genome.

1997 ◽  
Vol 7 (1) ◽  
pp. 81-86 ◽  
Author(s):  
M Rhodes ◽  
A Dearlove ◽  
R Straw ◽  
S Fernando ◽  
A Evans ◽  
...  
Keyword(s):  
High Resolution ◽  
Genetic Mapping ◽  
High Throughput ◽  
Mouse Genome ◽  
Microsatellite Analysis

Cross Section Analysis of Cu Filled TSVs Based on High Throughput Plasma-FIB Milling

2012 ◽  
Author(s):  
Frank Altmann ◽  
Jens Beyersdorfer ◽  
Jan Schischka ◽  
Michael Krause ◽  
German Franz ◽  
...  
Keyword(s):  
High Resolution ◽  
Cross Section ◽  
High Throughput ◽  
Cross Sections ◽  
Electron Backscatter Diffraction ◽  
Grain Structure ◽  
Electron Backscatter ◽  
Section Surface ◽  
Backscatter Diffraction ◽  
Section Analysis

Abstract In this paper the new Vion™ Plasma-FIB system, developed by FEI, is evaluated for cross sectioning of Cu filled Through Silicon Via (TSV) interconnects. The aim of the study presented in this paper is to evaluate and optimise different Plasma-FIB (P-FIB) milling strategies in terms of performance and cross section surface quality. The sufficient preservation of microstructures within cross sections is crucial for subsequent Electron Backscatter Diffraction (EBSD) grain structure analyses and a high resolution interface characterisation by TEM.

scholarly journals Micromechanical Punching: A Versatile Method for Non-Spherical Microparticle Fabrication

Polymers ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 83
Author(s):  
Ritika Singh Petersen ◽  
Anja Boisen ◽  
Stephan Sylvest Keller
Keyword(s):  
Drug Delivery ◽  
High Resolution ◽  
Physicochemical Properties ◽  
High Throughput ◽  
Liquid State ◽  
Soft Lithography ◽  
Glycolic Acid ◽  
Thermosetting Polymers ◽  
Spherical Microparticle ◽  
Spherical Microparticles

Microparticles are ubiquitous in applications ranging from electronics and drug delivery to cosmetics and food. Conventionally, non-spherical microparticles in various materials with specific shapes, sizes, and physicochemical properties have been fabricated using cleanroom-free lithography techniques such as soft lithography and its high-resolution version particle replication in non-wetting template (PRINT). These methods process the particle material in its liquid/semi-liquid state by deformable molds, limiting the materials from which the particles and the molds can be fabricated. In this study, the microparticle material is exploited as a sheet placed on a deformable substrate, punched by a robust mold. Drawing inspiration from the macro-manufacturing technique of punching metallic sheets, Micromechanical Punching (MMP) is a high-throughput technique for fabrication of non-spherical microparticles. MMP allows production of microparticles from prepatterned, porous, and fibrous films, constituting thermoplastics and thermosetting polymers. As an illustration of application of MMP in drug delivery, flat, microdisk-shaped Furosemide embedded poly(lactic-co-glycolic acid) microparticles are fabricated and Furosemide release is observed. Thus, it is shown in the paper that Micromechanical punching has potential to make micro/nanofabrication more accessible to the research and industrial communities active in applications that require engineered particles.

scholarly journals Advancing clinical genomics and precision medicine with GVViZ: FAIR bioinformatics platform for variable gene-disease annotation, visualization, and expression analysis

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Zeeshan Ahmed ◽  
Eduard Gibert Renart ◽  
Saman Zeeshan ◽  
XinQi Dong
Keyword(s):  
Data Analysis ◽  
Patient Care ◽  
Expression Analysis ◽  
High Throughput ◽  
Gene Annotation ◽  
Next Generation Sequencing Data ◽  
Rna Seq ◽  
Sequencing Data ◽  
Complex Disorders ◽  
Transcriptomics Data

Abstract Background Genetic disposition is considered critical for identifying subjects at high risk for disease development. Investigating disease-causing and high and low expressed genes can support finding the root causes of uncertainties in patient care. However, independent and timely high-throughput next-generation sequencing data analysis is still a challenge for non-computational biologists and geneticists. Results In this manuscript, we present a findable, accessible, interactive, and reusable (FAIR) bioinformatics platform, i.e., GVViZ (visualizing genes with disease-causing variants). GVViZ is a user-friendly, cross-platform, and database application for RNA-seq-driven variable and complex gene-disease data annotation and expression analysis with a dynamic heat map visualization. GVViZ has the potential to find patterns across millions of features and extract actionable information, which can support the early detection of complex disorders and the development of new therapies for personalized patient care. The execution of GVViZ is based on a set of simple instructions that users without a computational background can follow to design and perform customized data analysis. It can assimilate patients’ transcriptomics data with the public, proprietary, and our in-house developed gene-disease databases to query, easily explore, and access information on gene annotation and classified disease phenotypes with greater visibility and customization. To test its performance and understand the clinical and scientific impact of GVViZ, we present GVViZ analysis for different chronic diseases and conditions, including Alzheimer’s disease, arthritis, asthma, diabetes mellitus, heart failure, hypertension, obesity, osteoporosis, and multiple cancer disorders. The results are visualized using GVViZ and can be exported as image (PNF/TIFF) and text (CSV) files that include gene names, Ensembl (ENSG) IDs, quantified abundances, expressed transcript lengths, and annotated oncology and non-oncology diseases. Conclusions We emphasize that automated and interactive visualization should be an indispensable component of modern RNA-seq analysis, which is currently not the case. However, experts in clinics and researchers in life sciences can use GVViZ to visualize and interpret the transcriptomics data, making it a powerful tool to study the dynamics of gene expression and regulation. Furthermore, with successful deployment in clinical settings, GVViZ has the potential to enable high-throughput correlations between patient diagnoses based on clinical and transcriptomics data.

scholarly journals Development of High-Throughput, High-Resolution 3D Reconstruction of Large-Volume Biological Tissue Using Automated Tape Collection Ultramicrotomy and Scanning Electron Microscopy

2011 ◽  
Vol 17 (S2) ◽  
pp. 966-967 ◽  
Author(s):  
R Schalek ◽  
N Kasthuri ◽  
K Hayworth ◽  
D Berger ◽  
J Tapia ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
High Resolution ◽  
3D Reconstruction ◽  
High Throughput ◽  
Large Volume ◽  
Biological Tissue ◽  
Scanning Electron

Extended abstract of a paper presented at Microscopy and Microanalysis 2011 in Nashville, Tennessee, USA, August 7–August 11, 2011.

A high-resolution high-throughput FUV imager for the JMEX mission

2003 ◽  
Author(s):  
Steven N. Osterman ◽  
Nicholas M. Schneider ◽  
David A. Content ◽  
William E. McClintock ◽  
Stephen R. Steg ◽  
...  
Keyword(s):  
High Resolution ◽  
High Throughput
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