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Institution

Institute of Chartered Accountants of Nigeria

About: Institute of Chartered Accountants of Nigeria is a based out in . It is known for research contribution in the topics: Population & Adipose tissue. The organization has 528 authors who have published 579 publications receiving 18688 citations.


Papers
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Journal ArticleDOI
TL;DR: It is shown that modulating sphingolipid metabolism may be a novel and interesting way for preventing and/or treating several muscle-related diseases.
Abstract: Sphingolipids represent one of the major classes of eukaryotic lipids. They play an essential structural role, especially in cell membranes where they also possess signaling properties and are capable of modulating multiple cell functions, such as apoptosis, cell proliferation, differentiation, and inflammation. Many sphingolipid derivatives, such as ceramide, sphingosine-1-phosphate, and ganglioside, have been shown to play many crucial roles in muscle under physiological and pathological conditions. This review will summarize our knowledge of sphingolipids and their effects on muscle fate, highlighting the role of this class of lipids in modulating muscle cell differentiation, regeneration, aging, response to insulin, and contraction. We show that modulating sphingolipid metabolism may be a novel and interesting way for preventing and/or treating several muscle-related diseases.

23 citations

Journal ArticleDOI
TL;DR: Convolutional neural networks were used to extract morphologic features from 236 MDS, 87 MDS/MPN, and 11 control BM biopsies to highlight the potential of linking deep BM histopathology with genetics and clinical variables and molecular genetics.
Abstract: In myelodysplastic syndrome (MDS) and myeloproliferative neoplasm (MPN), bone marrow (BM) histopathology is assessed to identify dysplastic cellular morphology, cellularity, and blast excess. Yet, other morphologic findings may elude the human eye. We used convolutional neural networks to extract morphologic features from 236 MDS, 87 MDS/MPN, and 11 control BM biopsies. These features predicted genetic and cytogenetic aberrations, prognosis, age, and gender in multivariate regression models. Highest prediction accuracy was found for TET2 [area under the receiver operating curve (AUROC) = 0.94] and spliceosome mutations (0.89) and chromosome 7 monosomy (0.89). Mutation prediction probability correlated with variant allele frequency and number of affected genes per pathway, demonstrating the algorithms' ability to identify relevant morphologic patterns. By converting regression models to texture and cellular composition, we reproduced the classical del(5q) MDS morphology consisting of hypolobulated megakaryocytes. In summary, this study highlights the potential of linking deep BM histopathology with genetics and clinical variables. SIGNIFICANCE: Histopathology is elementary in the diagnostics of patients with MDS, but its high-dimensional data are underused. By elucidating the association of morphologic features with clinical variables and molecular genetics, this study highlights the vast potential of convolutional neural networks in understanding MDS pathology and how genetics is reflected in BM morphology.See related commentary by Elemento, p. 195.

23 citations

Journal ArticleDOI
24 Mar 2021-ACS Nano
TL;DR: In this article, the boron-based borophene exhibits interesting structural and electronic properties and is typically prepared by molecular beam epitaxy, but it is not known how to obtain boroton-based 2D materials.
Abstract: Like other 2D materials, the boron-based borophene exhibits interesting structural and electronic properties. While borophene is typically prepared by molecular beam epitaxy, we report here on an a...

23 citations

Journal ArticleDOI
TL;DR: Differentiation of cardiac myocytes with 2D monolayer-based protocols and the use of IWP2 allows the production of higher yield of cardiacMyocytes that have more suitable characteristics to study sarcomeric cardiomyopathies.
Abstract: Human induced pluripotent stem cells (iPSCs) represent a powerful human model to study cardiac disease in vitro, notably channelopathies and sarcomeric cardiomyopathies Different protocols for cardiac differentiation of iPSCs have been proposed either based on embroid body formation (3D) or, more recently, on monolayer culture (2D) We performed a direct comparison of the characteristics of the derived cardiomyocytes (iPSC-CMs) on day 27 ± 2 of differentiation between 3D and 2D differentiation protocols with two different Wnt-inhibitors were compared: IWR1 (inhibitor of Wnt response) or IWP2 (inhibitor of Wnt production) We firstly found that the level of Troponin T (TNNT2) expression measured by FACS was significantly higher for both 2D protocols as compared to the 3D protocol In the three methods, iPSC-CM show sarcomeric structures However, iPSC-CM generated in 2D protocols constantly displayed larger sarcomere lengths as compared to the 3D protocol In addition, mRNA and protein analyses reveal higher cTNi to ssTNi ratios in the 2D protocol using IWP2 as compared to both other protocols, indicating a higher sarcomeric maturation Differentiation of cardiac myocytes with 2D monolayer-based protocols and the use of IWP2 allows the production of higher yield of cardiac myocytes that have more suitable characteristics to study sarcomeric cardiomyopathies

23 citations

Journal ArticleDOI
TL;DR: ARVC/D is associated with a low rate of major cardiac events during pregnancy and vaginal delivery appears safe, and the risk of sustained ventricular arrhythmia seems poorly predictable and supports the continuation of beta-blockers during pregnancy.

23 citations


Authors

Showing all 528 results

NameH-indexPapersCitations
Ronald M. Evans199708166722
Thierry Poynard11966864548
Heikki Joensuu10857150300
Gilles Montalescot10064158644
François Cambien9225136260
Antoine Danchin8048330219
Laurence Tiret7919425231
Karine Clément7827532185
Karine Clément7322814710
Pascal Ferré6924123969
Michael T. Osterholm6826022624
Vincent Jarlier6727817060
Florent Soubrier6722624486
Stephen H. Caldwell6630818527
Christian Funck-Brentano6426770432
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202168
202073
201950
201848
201793
201686