Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
December 2018
Objective: To observe the expression of cellular Fas-associated death domain-like interleukin-1β converting enzyme inhibit protein (c-FLIP) in sepsis mice with acute kidney injury (SAKI) and explore its significance.
Methods: Thirty male ICR mice were divided into the normal control group (Normal group), sham operation group (Sham group) and SAKI group by random number table method, with 10 mice in each group. The SAKI model of mice was established by cecal ligation and puncture (CLP); the Sham group was not ligated and the cecum was not punctured, and other surgical procedures were the same as the SAKI group; the Normal group did not experience any treatment.
Here, we reported a Han Chinese essential hypertensive pedigree based on clinical hereditary and molecular data. To know the molecular basis on this family, mitochondrial genome of one proband from the family was identified through direct sequencing analysis. The age of onset year and affected degree of patients are different in this family.
View Article and Find Full Text PDFInf Process Med Imaging
August 2011
Despite extensive studies in the past, the problem of segmenting globally optimal single and multiple surfaces in 3D volumetric images remains challenging in medical imaging. The problem becomes even harder in highly noisy and edge-weak images. In this paper we present a novel and highly efficient graph-theoretical iterative method with bi-criteria of global optimality and smoothness for both single and multiple surfaces.
View Article and Find Full Text PDFMed Image Comput Comput Assist Interv
November 2010
In this paper, we study the problem of finding organization patterns of chromosomes inside the cell nucleus from microscopic nucleus images. Emerging evidence from cell biology research suggests that global chromosome organization has a vital role in fundamental cell processes related to gene expression and regulation. To understand how chromosome territories are neighboring (or associated) to each other, in this paper we present a novel technique for computing a common association pattern, represented as a Maximum Association Graph (MAG), from the nucleus images of a population of cells.
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