相关实验视频

Updated: Jan 30, 2026

Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation
09:03

Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation

Published on: November 17, 2014

10.1K

累积暴露于塔克罗利斯与固体器官移植接受者的恶性瘤风险增加有关

Sergio A Acuna1, Xun Zhao2,3, Maggie Jones-Carr1

  • 1Division of Transplantation, Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA.

International journal of cancer
|January 29, 2026
PubMed
概括

在固体器官移植接受者 (SOTR) 中,高达克罗露的暴露增加了新的恶性瘤风险. 谨慎的剂量定位,特别是在移植后的第一年,对于减轻这种癌症风险至关重要.

关键词:
癌症 癌症 癌症 癌症 癌症免疫抑制是一种免疫抑制.实体器官移植 实体器官移植这就是塔克罗利斯.

更多相关视频

Normal and Malignant Muscle Cell Transplantation into Immune Compromised Adult Zebrafish09:39

Normal and Malignant Muscle Cell Transplantation into Immune Compromised Adult Zebrafish

Published on: December 26, 2014

11.3K
Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS08:38

Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS

Published on: November 8, 2015

17.5K

相关概念视频

Cumulative Frequency Distribution01:04

Cumulative Frequency Distribution

A cumulative frequency distribution is another type of frequency distribution. Instead of reporting how many data values fall in some classes, it reports how many data values are contained in either that class or any class to its left. Technically, it means the sum of frequencies of the class and all the classes below it in a frequency distribution. A cumulative frequency is calculated by adding the frequency of each class lower than the corresponding class interval or category. In general, a...
8.3K
Metallic Solids02:37

Metallic Solids

Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
All metallic solids exhibit high thermal and electrical conductivity, metallic luster, and malleability....
20.6K
Structures of Solids02:22

Structures of Solids

Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
17.7K
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...
20.0K
Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Increasing Function01:18

Increasing Function

An increasing function exhibits a rise in output values as input values increase. This behavior is depicted graphically as a curve or line that slopes upward from left to right. Such a function satisfies the condition that if x1 < x2, then f(x1) < f(x2), indicating that the function values grow with increasing inputs. This concept is fundamental in understanding growth trends across various domains, such as population dynamics, financial investments, or resource consumption.The...
391