37 research outputs found
An enhanced median filter for removing noise from MR images
In this paper, a novel decision based median (DBM) filter for enhancing MR images has been proposed. The method is based on eliminating impulse noise from MR images. A median-based method to remove impulse noise from digital MR images has been developed. Each pixel is leveled from black to white like gray-level. The method is adjusted in order to decide whether the median operation can be applied on a pixel. The main deficiency in conventional median filter approaches is that all pixels are filtered with no concern about healthy pixels. In this research, to suppress this deficiency, noisy pixels are initially detected, and then the filtering operation is applied on them. The proposed decision method (DM) is simple and leads to fast filtering. The results are more accurate than other conventional filters. Moreover, DM adjusts itself based on the conditions of local detections. In other words, DM operation on detecting a pixel as a noise depends on the previous decision. As a considerable advantage, some unnecessary median operations are eliminated and the number of median operations reduces drastically by using DM. Decision method leads to more acceptable results in scenarios with high noise density. Furthermore, the proposed method reduces the probability of detecting noise-free pixels as noisy pixels and vice versa
HTRA1-Dependent Cell Cycle Proteomics
The <i>HTRA1</i> gene encoding
an evolutionary conserved
protein quality-control factor can be epigenetically silenced or inactivated
by mutation under pathologic conditions such as cancer. Recent evidence
suggests that the loss of HTRA1 function causes multiple phenotypes,
including the acceleration of cell growth, delayed onset of senescence,
centrosome amplification, and polyploidy, suggesting an implication
in the regulation of the cell cycle. To address this model, we performed
a large-scale proteomics study to correlate the abundance of proteins
and HTRA1 levels in various cell cycle phases using label-free-quantification
mass spectrometry. These data indicate that the levels of 4723 proteins
fluctuated in a cell-cycle-dependent manner, 2872 in a HTRA1-dependent
manner, and 1530 in a cell-cycle- and HTRA1-dependent manner. The
large number of proteins affected by the modulation of HTRA1 levels
supports its general role in protein homeostasis. Moreover, the detected
changes in protein abundance, in combination with pull-down data,
implicate HTRA1 in various cell cycle events such as DNA replication,
chromosome segregation, and cell-cycle-dependent apoptosis. These
results highlight the wide implications of HTRA1 in cellular physiology
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HTRA1-Dependent Cell Cycle Proteomics
The <i>HTRA1</i> gene encoding
an evolutionary conserved
protein quality-control factor can be epigenetically silenced or inactivated
by mutation under pathologic conditions such as cancer. Recent evidence
suggests that the loss of HTRA1 function causes multiple phenotypes,
including the acceleration of cell growth, delayed onset of senescence,
centrosome amplification, and polyploidy, suggesting an implication
in the regulation of the cell cycle. To address this model, we performed
a large-scale proteomics study to correlate the abundance of proteins
and HTRA1 levels in various cell cycle phases using label-free-quantification
mass spectrometry. These data indicate that the levels of 4723 proteins
fluctuated in a cell-cycle-dependent manner, 2872 in a HTRA1-dependent
manner, and 1530 in a cell-cycle- and HTRA1-dependent manner. The
large number of proteins affected by the modulation of HTRA1 levels
supports its general role in protein homeostasis. Moreover, the detected
changes in protein abundance, in combination with pull-down data,
implicate HTRA1 in various cell cycle events such as DNA replication,
chromosome segregation, and cell-cycle-dependent apoptosis. These
results highlight the wide implications of HTRA1 in cellular physiology
HTRA1-Dependent Cell Cycle Proteomics
The <i>HTRA1</i> gene encoding
an evolutionary conserved
protein quality-control factor can be epigenetically silenced or inactivated
by mutation under pathologic conditions such as cancer. Recent evidence
suggests that the loss of HTRA1 function causes multiple phenotypes,
including the acceleration of cell growth, delayed onset of senescence,
centrosome amplification, and polyploidy, suggesting an implication
in the regulation of the cell cycle. To address this model, we performed
a large-scale proteomics study to correlate the abundance of proteins
and HTRA1 levels in various cell cycle phases using label-free-quantification
mass spectrometry. These data indicate that the levels of 4723 proteins
fluctuated in a cell-cycle-dependent manner, 2872 in a HTRA1-dependent
manner, and 1530 in a cell-cycle- and HTRA1-dependent manner. The
large number of proteins affected by the modulation of HTRA1 levels
supports its general role in protein homeostasis. Moreover, the detected
changes in protein abundance, in combination with pull-down data,
implicate HTRA1 in various cell cycle events such as DNA replication,
chromosome segregation, and cell-cycle-dependent apoptosis. These
results highlight the wide implications of HTRA1 in cellular physiology
HTRA1-Dependent Cell Cycle Proteomics
The <i>HTRA1</i> gene encoding
an evolutionary conserved
protein quality-control factor can be epigenetically silenced or inactivated
by mutation under pathologic conditions such as cancer. Recent evidence
suggests that the loss of HTRA1 function causes multiple phenotypes,
including the acceleration of cell growth, delayed onset of senescence,
centrosome amplification, and polyploidy, suggesting an implication
in the regulation of the cell cycle. To address this model, we performed
a large-scale proteomics study to correlate the abundance of proteins
and HTRA1 levels in various cell cycle phases using label-free-quantification
mass spectrometry. These data indicate that the levels of 4723 proteins
fluctuated in a cell-cycle-dependent manner, 2872 in a HTRA1-dependent
manner, and 1530 in a cell-cycle- and HTRA1-dependent manner. The
large number of proteins affected by the modulation of HTRA1 levels
supports its general role in protein homeostasis. Moreover, the detected
changes in protein abundance, in combination with pull-down data,
implicate HTRA1 in various cell cycle events such as DNA replication,
chromosome segregation, and cell-cycle-dependent apoptosis. These
results highlight the wide implications of HTRA1 in cellular physiology
HTRA1-Dependent Cell Cycle Proteomics
The <i>HTRA1</i> gene encoding
an evolutionary conserved
protein quality-control factor can be epigenetically silenced or inactivated
by mutation under pathologic conditions such as cancer. Recent evidence
suggests that the loss of HTRA1 function causes multiple phenotypes,
including the acceleration of cell growth, delayed onset of senescence,
centrosome amplification, and polyploidy, suggesting an implication
in the regulation of the cell cycle. To address this model, we performed
a large-scale proteomics study to correlate the abundance of proteins
and HTRA1 levels in various cell cycle phases using label-free-quantification
mass spectrometry. These data indicate that the levels of 4723 proteins
fluctuated in a cell-cycle-dependent manner, 2872 in a HTRA1-dependent
manner, and 1530 in a cell-cycle- and HTRA1-dependent manner. The
large number of proteins affected by the modulation of HTRA1 levels
supports its general role in protein homeostasis. Moreover, the detected
changes in protein abundance, in combination with pull-down data,
implicate HTRA1 in various cell cycle events such as DNA replication,
chromosome segregation, and cell-cycle-dependent apoptosis. These
results highlight the wide implications of HTRA1 in cellular physiology
HTRA1-Dependent Cell Cycle Proteomics
The <i>HTRA1</i> gene encoding
an evolutionary conserved
protein quality-control factor can be epigenetically silenced or inactivated
by mutation under pathologic conditions such as cancer. Recent evidence
suggests that the loss of HTRA1 function causes multiple phenotypes,
including the acceleration of cell growth, delayed onset of senescence,
centrosome amplification, and polyploidy, suggesting an implication
in the regulation of the cell cycle. To address this model, we performed
a large-scale proteomics study to correlate the abundance of proteins
and HTRA1 levels in various cell cycle phases using label-free-quantification
mass spectrometry. These data indicate that the levels of 4723 proteins
fluctuated in a cell-cycle-dependent manner, 2872 in a HTRA1-dependent
manner, and 1530 in a cell-cycle- and HTRA1-dependent manner. The
large number of proteins affected by the modulation of HTRA1 levels
supports its general role in protein homeostasis. Moreover, the detected
changes in protein abundance, in combination with pull-down data,
implicate HTRA1 in various cell cycle events such as DNA replication,
chromosome segregation, and cell-cycle-dependent apoptosis. These
results highlight the wide implications of HTRA1 in cellular physiology
HTRA1-Dependent Cell Cycle Proteomics
The <i>HTRA1</i> gene encoding
an evolutionary conserved
protein quality-control factor can be epigenetically silenced or inactivated
by mutation under pathologic conditions such as cancer. Recent evidence
suggests that the loss of HTRA1 function causes multiple phenotypes,
including the acceleration of cell growth, delayed onset of senescence,
centrosome amplification, and polyploidy, suggesting an implication
in the regulation of the cell cycle. To address this model, we performed
a large-scale proteomics study to correlate the abundance of proteins
and HTRA1 levels in various cell cycle phases using label-free-quantification
mass spectrometry. These data indicate that the levels of 4723 proteins
fluctuated in a cell-cycle-dependent manner, 2872 in a HTRA1-dependent
manner, and 1530 in a cell-cycle- and HTRA1-dependent manner. The
large number of proteins affected by the modulation of HTRA1 levels
supports its general role in protein homeostasis. Moreover, the detected
changes in protein abundance, in combination with pull-down data,
implicate HTRA1 in various cell cycle events such as DNA replication,
chromosome segregation, and cell-cycle-dependent apoptosis. These
results highlight the wide implications of HTRA1 in cellular physiology
HTRA1-Dependent Cell Cycle Proteomics
The <i>HTRA1</i> gene encoding
an evolutionary conserved
protein quality-control factor can be epigenetically silenced or inactivated
by mutation under pathologic conditions such as cancer. Recent evidence
suggests that the loss of HTRA1 function causes multiple phenotypes,
including the acceleration of cell growth, delayed onset of senescence,
centrosome amplification, and polyploidy, suggesting an implication
in the regulation of the cell cycle. To address this model, we performed
a large-scale proteomics study to correlate the abundance of proteins
and HTRA1 levels in various cell cycle phases using label-free-quantification
mass spectrometry. These data indicate that the levels of 4723 proteins
fluctuated in a cell-cycle-dependent manner, 2872 in a HTRA1-dependent
manner, and 1530 in a cell-cycle- and HTRA1-dependent manner. The
large number of proteins affected by the modulation of HTRA1 levels
supports its general role in protein homeostasis. Moreover, the detected
changes in protein abundance, in combination with pull-down data,
implicate HTRA1 in various cell cycle events such as DNA replication,
chromosome segregation, and cell-cycle-dependent apoptosis. These
results highlight the wide implications of HTRA1 in cellular physiology