Search results for "Array"

"Writing biochips": high-resolution droplet-to-droplet manufacturing of analytical platforms.

2022

The development of high-resolution molecular printing allows the engineering of analytical platforms enabling applications at the interface between chemistry and biology, i.e. in biosensing, electronics, single-cell biology, and point-of-care diagnostics. Their successful implementation stems from the combination of large area printing at resolutions from sub-100 nm up to macroscale, whilst controlling the composition and the volume of the ink, and reconfiguring the deposition features in due course. Similarly to handwriting pens, the engineering of continuous writing systems tackles the issue of the tedious ink replenishment between different printing steps. To this aim, this review articl…

Control of dataset bias in combined Affymetrix cohorts of triple negative breast cancer

2014

AbstractHeterogenous subtypes of breast cancer need to be analyzed separately. Pooling of datasets can provide reasonable sample sizes but dataset bias is an important concern. We assembled a combined dataset of 579 Affymetrix microarrays from triple negative breast cancer (TNBC) in Gene Expression Omnibus (GEO) series GSE31519. We developed a method for selecting comparable datasets and to control for the amount of dataset bias of individual probesets.

A predictive function optimization algorithm for multi-spectral skin lesion assessment

2015

The newly introduced Kubelka-Munk Genetic Algorithm (KMGA) is a promising technique used in the assessment of skin lesions. Unfortunately, this method is computationally expensive due to its function inverting process. In the work of this paper, we design a Predictive Function Optimization Algorithm in order to improve the efficiency of KMGA by speeding up its convergence rate. Using this approach, a High-Convergence-Rate KMGA (HCR-KMGA) is implemented onto multi-core processors and FPGA devices respectively. Furthermore, the implementations are optimized using parallel computing techniques. Intensive experiments demonstrate that HCR-KMGA can effectively accelerate KMGA method, while improv…

Comparison between Different Dynamic Reconfigurations of Electrical Connections for partially shaded PV Modules

2018

This paper presents an economical investigation on the benefits related to the employment of reconfiguration systems for photovoltaic plants. More in detail, different structures of reconfigurators are proposed and, in order to evaluate the economical convenience on their installation, the Net Present Value is used as a validation element. Significant results are carried out from the proposed analysis.

Printing Biology: engineering analytical platforms by molecular inks

2021

Remote, web-based laboratory for Programmable Logic Devices

2009

Abstract This work proposes a web-based laboratory for remotely testing FPGA programs on an evaluation board. Using a web browser, the user can download a device configuration file (previously generated with the FPGA commercial tool) and test it in a real FPGA board located in a remote laboratory at the University facilities. The user can control inputs and check outputs’ state. This preliminary study tries to evaluate the possibilities that can be offered to the user, and the restrictions that might apply. Additionally, it describes the proposed infrastructure (hardware and software) needed to successfully deal with all the interesting features that a remote lab system for programmable log…

COX-2-dependent and COX-2-independent mode of action of celecoxib in human liver cancer cells.

2011

Celecoxib (Celebrex((R)), Pfizer) is a selective cyclooxygenase-2 (COX-2) inhibitor with chemopreventive and antitumor effects. However, it is now well known that celecoxib has several COX-2-independent activities. To better understand COX-2-independent molecular mechanisms underlying the antitumor activity of celecoxib, we investigated the expression profile of the celecoxib-treated COX-2-positive (Huh7) and COX-2-negative (HepG2) liver cancer cell lines, using microarray analysis. Celecoxib treatment resulted in significantly altered expression levels of 240 and 403 transcripts in Huh7 and HepG2 cells, respectively. Confirmation of the microarray results was performed for selected genes b…

Kel1 is a phosphorylation-regulated noise suppressor of the pheromone signaling pathway.

2021

Abstract Mechanisms have evolved that allow cells to detect signals and generate an appropriate response. The accuracy of these responses relies on the ability of cells to discriminate between signal and noise. How cells filter noise in signaling pathways is not well understood. We have analyzed noise suppression in the yeast pheromone signaling pathway. By combining synthetic genetic array screening, mass spectrometry and single-cell time-resolved microscopy, we discovered that the poorly characterized protein Kel1 serves as a major noise suppressor of the pathway. At the molecular level, Kel1 suppresses spontaneous activation of the pheromone response by inhibiting membrane recruitment of…

How to Select a Mate: Kel1 is a Phosphorylation-Regulated Suppressor of the Pheromone Signaling Pathway

2021

Mechanisms have evolved that allow cells to detect signals and generate an appropriate response. The accuracy of these responses relies on the ability of cells to discriminate between signal and noise. How cells filter noise in signaling pathways is not well understood. We have analyzed noise suppression in the yeast pheromone signaling pathway. By combining synthetic genetic array screening, mass spectrometry and single-cell time-resolved microscopy, we discovered that the poorly characterized protein Kel1 serves as a major noise suppressor of the pathway. At the molecular level, Kel1 suppresses spontaneous activation of the pheromone response by inhibiting membrane recruitment of Ste5 and…

Berberine inhibits cell growth and mediates caspase-independent cell death in human pancreatic cancer cells.

2010

Pancreatic cancer is one of the most aggressive human malignancies with an increasing incidence worldwide. In addition to the poor survival rates, combinations using gemcitabine as a backbone have failed to show any benefit beyond monotherapy. These facts underscore an urgent need for novel therapeutic options and motivated us to study the effect of berberine on pancreatic cancer cells. Here, we undertook an mRNA-based gene expression profiling study in order to get deeper insight into the molecular targets mediating the growth inhibitory effects of berberine on pancreatic cancer cells compared to normal ones. Twenty-four hours after treatment, berberine showed preferential selectivity towa…