scispace - formally typeset
Search or ask a question
Institution

Sofia University

EducationSofia, Bulgaria
About: Sofia University is a education organization based out in Sofia, Bulgaria. It is known for research contribution in the topics: Large Hadron Collider & Laser. The organization has 8533 authors who have published 15730 publications receiving 306320 citations. The organization is also known as: University of Sofia & BFUS.


Papers
More filters
Journal ArticleDOI
TL;DR: This work presents a strategy to transform common MOFs, by guest inclusions and high-temperature MOF–guest interactions, into complex carbon-based, diatom-like, hierarchical structures (named for the morphological similarities with the naturally existing diatomaceous species).
Abstract: Three-dimensional carbon-based structures have proven useful for tailoring material properties in structural mechanical and energy storage applications. One approach to obtain them has been by carbonization of selected metal–organic frameworks (MOFs) with catalytic metals, but this is not applicable to most common MOF structures. Here, we present a strategy to transform common MOFs, by guest inclusions and high-temperature MOF–guest interactions, into complex carbon-based, diatom-like, hierarchical structures (named for the morphological similarities with the naturally existing diatomaceous species). As an example, we introduce metal salt guests into HKUST-1-type MOFs to generate a family of carbon-based nano-diatoms with two to four levels of structural hierarchy. We report control of the morphology by simple changes in the chemistry of the MOF and guest, with implications for the formation mechanisms. We demonstrate that one of these structures has unique advantages as a fast-charging lithium-ion batter...

82 citations

Journal ArticleDOI
TL;DR: A dominant-negative mechanism for GS variants in ITPR1 is supported, consistent with an abnormality of nuclear calcium signaling feedback control, and super-resolution imaging supports the existence of an IT PR1-lined nucleoplasmic reticulum.
Abstract: Gillespie syndrome (GS) is characterized by bilateral iris hypoplasia, congenital hypotonia, non-progressive ataxia, and progressive cerebellar atrophy. Trio-based exome sequencing identified de novo mutations in ITPR1 in three unrelated individuals with GS recruited to the Deciphering Developmental Disorders study. Whole-exome or targeted sequence analysis identified plausible disease-causing ITPR1 mutations in 10/10 additional GS-affected individuals. These ultra-rare protein-altering variants affected only three residues in ITPR1: Glu2094 missense (one de novo, one co-segregating), Gly2539 missense (five de novo, one inheritance uncertain), and Lys2596 in-frame deletion (four de novo). No clinical or radiological differences were evident between individuals with different mutations. ITPR1 encodes an inositol 1,4,5-triphosphate-responsive calcium channel. The homo-tetrameric structure has been solved by cryoelectron microscopy. Using estimations of the degree of structural change induced by known recessive- and dominant-negative mutations in other disease-associated multimeric channels, we developed a generalizable computational approach to indicate the likely mutational mechanism. This analysis supports a dominant-negative mechanism for GS variants in ITPR1. In GS-derived lymphoblastoid cell lines (LCLs), the proportion of ITPR1-positive cells using immunofluorescence was significantly higher in mutant than control LCLs, consistent with an abnormality of nuclear calcium signaling feedback control. Super-resolution imaging supports the existence of an ITPR1-lined nucleoplasmic reticulum. Mice with Itpr1 heterozygous null mutations showed no major iris defects. Purkinje cells of the cerebellum appear to be the most sensitive to impaired ITPR1 function in humans. Iris hypoplasia is likely to result from either complete loss of ITPR1 activity or structure-specific disruption of multimeric interactions.

82 citations

Journal ArticleDOI
TL;DR: The data indicate that down-regulation of BIM is epigenetically controlled by methylation in a percentage of CML patients and has an unfavourable prognostic impact, and that the combination of imatinib with a de-methylating agent may result in improved responses in patients with decreased expression of Bim.

82 citations

Journal ArticleDOI
TL;DR: The observation that proteins with important cell functions are differentially distributed between VAT and SAT and their characterization as components of SVF or mature adipocytes pave the way for future research on the molecular basis underlying diverse adipose tissue‐related pathologies such as metabolic syndrome or lipodystrophy.
Abstract: Adipose tissue represents a complex tissue both in terms of its cellular composition, as it includes mature adipocytes and the various cell types comprising the stromal-vascular fraction (SVF), and in relation to the distinct biochemical, morphological and functional characteristics according to its anatomical location. Herein, we have characterized the proteomic profile of both mature adipocyte and SVF from human visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) fat depots in order to unveil differences in the expression of proteins which may underlie the distinct association of VAT and SAT to several pathologies. Specifically, 24 proteins were observed to be differentially expressed between SAT SVF versus VAT SVF from lean individuals. Immunoblotting and RT-PCR analysis confirmed the differential regulation of the nuclear envelope proteins lamin A/C, the membrane-cytoskeletal linker ezrin and the enzyme involved in retinoic acid production, aldehyde dehydrogenase 1A2, in the two fat depots. In sum, the observation that proteins with important cell functions are differentially distributed between VAT and SAT and their characterization as components of SVF or mature adipocytes pave the way for future research on the molecular basis underlying diverse adipose tissue-related pathologies such as metabolic syndrome or lipodystrophy.

82 citations

Journal ArticleDOI
TL;DR: In this paper, the mass-radius relations are obtained for several equations of state and for wide range of the $R$-squared gravity parameter $a$ even though the deviation from general relativity for nonzero values of $a $ can be large, they are still comparable with the variations due to different modern realistic equations.
Abstract: In the present paper we investigate non-perturbatively and self-consistently the structure of neutron stars in $R$-squared gravity by simultaneously solving the interior and exterior problem. The mass-radius relations are obtained for several equations of state and for wide range of the $R$-squared gravity parameter $a$. Even though the deviation from general relativity for nonzero values of $a$ can be large, they are still comparable with the variations due to different modern realistic equations of state. That is why the current observations of the neutron star masses and radii alone can not put constraints on the value of the parameter $a$. We also compare our results with those obtained within the perturbative method and we discuss the differences between them.

82 citations


Authors

Showing all 8600 results

NameH-indexPapersCitations
Michael Tytgat134144994133
Leander Litov133142492713
Eric Conte132120684593
Georgi Sultanov132149393318
Plamen Iaydjiev131128587958
Anton Dimitrov130123686919
Jordan Damgov129119585490
Borislav Pavlov129124586458
Jean-Laurent Agram128122184423
Cristina Botta128116079070
Jean-Charles Fontaine128119084011
Peicho Petkov128111183495
Muhammad Ahmad128118779758
Roumyana Hadjiiska126100373091
Mircho Rodozov12497270519
Network Information
Related Institutions (5)
Centre national de la recherche scientifique
382.4K papers, 13.6M citations

89% related

University of Paris-Sud
52.7K papers, 2.1M citations

88% related

University of Hamburg
89.2K papers, 2.8M citations

88% related

Polish Academy of Sciences
102.1K papers, 2M citations

88% related

Complutense University of Madrid
90.2K papers, 2.1M citations

88% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202326
2022141
2021792
2020771
2019769
2018693