Related Experiment Video

Updated: Feb 5, 2026

Author Spotlight: Exploring the Lifespan Dynamics of Healthy Human Hematopoiesis
03:40

Author Spotlight: Exploring the Lifespan Dynamics of Healthy Human Hematopoiesis

Published on: December 8, 2023

1.9K

Downregulation of FOXP1 correlates with tendon stem/progenitor cells aging

Hua Xu1, Fan Liu1

  • 1First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, People's Republic of China; Department of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, People's Republic of China.

Biochemical and Biophysical Research Communications
|September 2, 2018
PubMed

Keywords:
AgingCell cycleFOXP1Tendon-derived stem/progenitor cells

More Related Videos

Sequential In vivo Imaging of Osteogenic Stem/Progenitor Cells During Fracture Repair10:30

Sequential In vivo Imaging of Osteogenic Stem/Progenitor Cells During Fracture Repair

Published on: May 23, 2014

11.1K
Transplantation of Induced Pluripotent Stem Cell-derived Mesoangioblast-like Myogenic Progenitors in Mouse Models of Muscle Regeneration10:03

Transplantation of Induced Pluripotent Stem Cell-derived Mesoangioblast-like Myogenic Progenitors in Mouse Models of Muscle Regeneration

Published on: January 20, 2014

10.1K

Related Concept Videos

Receptor Downregulation in MVBs01:15

Receptor Downregulation in MVBs

Multivesicular bodies (MVBs) are mature endosomes that sort ubiquitinated proteins and then fuse with lysosomes to degrade the sorted proteins. Epidermal growth factor (EGF) and its receptor (EGFR) form a complex that can be internalized through endocytosis, sorted into an MVB, and later degraded.
The EGFR can initiate signaling pathways that  lead to cell proliferation, migration, and differentiation. Overexpression of EGFR  stimulates cells to proliferate. Excessive  EGFR...
2.8K
Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.2K
Correlation and Causation01:27

Correlation and Causation

Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.8K
Adult Stem Cells01:33

Adult Stem Cells

Stem cells are undifferentiated cells that divide and produce more stem cells or progenitor cells that differentiate into mature, specialized cell types. All the cells in the body are generated from stem cells in the early embryo, but small populations of stem cells are also present in many adult tissues including the bone marrow, brain, skin, and gut. These adult stem cells typically produce the various cell types found in that tissue—to replace cells that are damaged or to continuously...
33.9K
Embryonic Stem Cells00:58

Embryonic Stem Cells

Embryonic stem (ES) cells are undifferentiated pluripotent cells, meaning they can produce any cell type in the body. This gives them tremendous potential in science and medicine since they can generate specific cell types for use in research or to replace body cells lost due to damage or disease.
32.5K
Correlation01:09

Correlation

In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.2K