1,721,305 research outputs found
Optical properties of Cobalt or Manganese alloying in iron disilicide (-FeSi2) thin films
No full textInsight on the microscopical structure of a-C and a-C:H thin films through electron spin resonance analysis
No full textComputation of the Stark effect in P impurity states in silicon
No full textWe compute within the effective-mass theory and without adjustable parameters the Stark effect for shallow P donors in Si with anisotropic band structure. Valley-orbit coupling is taken into account in a nonperturbative way and scattering effects of the impurity core are included to properly describe low-lying impurity states. The ground-state energy slightly decreases with increasing electric field up to a critical value Ecr∼25 keV∕cm, at which the donor can be ionized by tunneling due to a field-induced mixing of the “1s-like” singlet ground state with a “2p0-like” excited state in zero field. The resulting ground-state wave function at high field extends significantly outside the potential barrier surrounding the impurity. Calculations of the hyperfine splitting and of the A-shell superhyperfine coupling constants as a function of the electric field complete the work
Reverse engineering cancer: Inferring transcriptional gene signatures from copy number aberrations with ICAro
No full textThe characterization of a gene product function is a process that involves multiple laboratory techniques in order to silence the gene itself and to understand the resulting cellular phenotype via several omics profiling. When it comes to tumor cells, usually the translation process from in vitro characterization results to human validation is a difficult journey. Here, we present a simple algorithm to extract mRNA signatures from cancer datasets, where a particular gene has been deleted at the genomic level, ICAro. The process is implemented as a two-step workflow. The first one employs several filters in order to select the two patient subsets: the inactivated one, where the target gene is deleted, and the control one, where large genomic rearrangements should be absent. The second step performs a signature extraction via a Differential Expression analysis and a complementary Random Forest approach to provide an additional gene ranking in terms of information loss. We benchmarked the system robustness on a panel of genes frequently deleted in cancers, where we validated the downregulation of target genes and found a correlation with signatures extracted with the L1000 tool, outperforming random sampling for two out of six L1000 classes. Furthermore, we present a use case correlation with a published transcriptomic experiment. In conclusion, deciphering the complex interactions of the tumor environment is a challenge that requires the integration of several experimental techniques in order to create reproducible results. We implemented a tool which could be of use when trying to find mRNA signatures related to a gene loss event to better understand its function or for a gene-loss associated biomarker research
Temperature dependence analysis of the electron paramagnetic resonance signal and electrical conductivity in a-C and a-C:H
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A new baby in the c-myc-directed transcriptional machinery. che-1/aatf
No full textB-cell precursor acute lymphoblastic leukemia (BCP-ALL) is the most common malignancy in childhood. Despite the high cure-rate, identifying new druggable molecular targets is still of great interest. In a cohort of BCP-ALL pediatric patients, irrespectively of the molecule/karyotype lesions found, we recently observed high expression of c-Myc and Che-1/AATF, which disappears at time of remission. Study of the molecular mechanisms involved in this co-expression revealed that Che-1 expression was crucial for induction of blast-cell proliferation driven by c-Myc. Furthermore, Che-1/AATF silencing in primary BCP-ALL cell lines improves responsiveness to chemotherapy. These data individuate Che-1 as a possible novel target in the treatment of BCP-ALL able to affect c-Myc-driven tumorigenicity
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