1,721,015 research outputs found
miRNA 34a, 100, and 137 modulate differentiation of mouse embryonic stem cells
No full textMicroRNAs (miRNAs) play an important
role in proper function and differentiation of mouse
embryonic stem cells (ESCs). We performed a systematic
comparison of miRNA expression in undifferentiated
vs. differentiating ESCs. We report that 138 miRNAs
are increased on the induction of differentiation. We
compared the entire list of candidate mRNA targets
of up-regulated miRNAs with that of mRNA downregulated
in ESCs on induction of differentiation.
Among the candidate targets emerging from this analysis,
we found three genes, Smarca5, Jarid1b, and Sirt1,
previously demonstrated to be involved in sustaining
the undifferentiated phenotype in ESCs. On this basis,
we first demonstrated that Smarca5 is a direct target of
miR-100, Jarid1b of miR-137, and we also confirmed
previously published data demonstrating that Sirt1 is a
direct target of miR-34a in a different context. The
suppression of these three miRNAs by anti-miRs caused
the block of ESC differentiation induced by LIF withdrawal.
On the other hand, the overexpression of the
three miRNAs resulted in an altered expression of
differentiation markers. These results demonstrate that
miR-34a, miR-100, and miR-137 are required for
proper differentiation of mouse ESCs, and that they
function in part by targeting Sirt1, Smarca5, and
Jarid1b mRNAs.—Tarantino, C., Paolella, G., Cozzuto,
L., Minopoli, G., Pastore, L., Parisi, S., Russo, T.
miRNA 34a, 100, and 137 modulate differentiation of
mouse embryonic stem cells
The Fe65 adaptor protein interacts through its PID1 domain with the transcription factor CP2/LSF/LBP1
No full textThe Fe65 adaptor protein interacts through its PID1 domain with the transcription factor CP2/LSF/LBP1
No full textThe Fe65 adaptor protein interacts through its PID1 domain with the transcription factor CP2/LSF/LBP1
No full textBiocompatible Hybrid Graphenic Thin Coatings on Flexible Substrates through Matrix-Assisted Pulsed Laser Evaporation (MAPLE)
No full textThis work reports the production of biocompatible thin layers for biomedical applications based on a graphene-like material (GL), a graphene-related material (GRM) obtained from carbon black. GL was combined in a hybrid fashion with polydopamine (pDA), a mussel-inspired water-resistant wet adhesive bonding obtained by the oxidative polymerization of dopamine (DA), and polyvinyl pyrrolidinone (PVP), a nontoxic synthetic polymer with intrinsic adhesion properties, to obtain a tighter adhesion of the thin layer to the substrate (silicone slices). Matrix-assisted pulsed laser evaporation (MAPLE) was used to coat PDMS slices with thin films of GL-pDA and GL-PVP directly from their frozen suspensions in water. The results indicate that the relevant chemical-physical characteristics of both thin films (evidenced by FTIR and AFM) were maintained after MAPLE deposition and that the films exhibit uniformity also at the nanometric level. After deposition, the GL-pDA and GL-PVP films underwent a biological survey toward murine fibroblasts (NIH3T3), human keratinocytes (HaCAT), and human cervical adenocarcinoma epithelial-like (HeLa) cells to assess the feasibility of this approach. Results indicate that both the GL-pDA and GL-PVP films did not perturb the biological parameters evaluated, including cytoskeleton alterations. Both hybrid films enhanced the effects of GL on cellular vitality across all cell lines. Specifically, the GL-pDA film exhibited a more stable effect over time (up to 72 h), whereas the GL-PVP film behaved similarly to the GL film in NIH3T3 and HeLa cell lines after long-term exposure. These promising results make the GL-pDA and GL-PVP films potential candidates for the manufacture of coated flexible devices for biomedical applications
Fe65L2: a new member of the Fe65 protein family interacting with the intracellular domain of the Alzheimer’s b-amyloid precursor protein
No full textClassification of transition human activities in IoT environments via memory-based neural networks
No full textHuman activity recognition is a crucial task in several modern applications based on the Internet of Things (IoT) paradigm, from the design of intelligent video surveillance systems to the development of elderly robot assistants. Recently, machine learning algorithms have been strongly investigated to improve the recognition task of human activities. Though, in spite of these research activities, there are not so many studies focusing on the efficient recognition of complex human activities, namely transitional activities, and there is no research aimed at evaluating the effects of noise in data used to train algorithms. In this paper, we bridge this gap by introducing an innovative activity recognition system based on a neural classifier endowed with memory, able to optimize the performance of the classification of both transitional and non-transitional human activities. The system recognizes human activities from unobtrusive IoT devices (such as the accelerometer and gyroscope) integrated in commonly used smartphones. The main peculiarity provided by the proposed system is related to the exploitation of a neural network extended with short-term memory information about the previous activities’ features. The experimental study proves the reliability of the proposed system in terms of accuracy with respect to state-of-the-art classifiers and the robustness of the proposed framework with respect to noise in data
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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