A 3-D Journey Through a Cell's Nucleus
Abstract
This animation shows a 3-D rendering of a nucleus in a mouse cell known as a “neuronal progenitor.” The view shown here slices from the surface of the nucleus through to its other side, and is color-coded for two types of genetic material: heterochromatin (blue) and euchromatin (green). The gold color represents mitochondria, the energy production center in cells. Heterochromatin is believed to be the most tightly packed form of chromatin. Neuronal progenitor cells resemble stem cells in that they have the ability to specialize into different cell types, though with a more limited range of differentiation. (Credit: Berkeley Lab, UCSF)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1660425
- Resource Type:
- Multimedia
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 59 BASIC BIOLOGICAL SCIENCES; NUCLEUS; NEURONAL PROGENITOR; HETEROCHROMATIN; EUCHROMATIN; MITOCHONDRIA; CELLS
Citation Formats
. A 3-D Journey Through a Cell's Nucleus. United States: N. p., 2016.
Web.
. A 3-D Journey Through a Cell's Nucleus. United States.
. Thu .
"A 3-D Journey Through a Cell's Nucleus". United States. https://www.osti.gov/servlets/purl/1660425.
@article{osti_1660425,
title = {A 3-D Journey Through a Cell's Nucleus},
author = {},
abstractNote = {This animation shows a 3-D rendering of a nucleus in a mouse cell known as a “neuronal progenitor.” The view shown here slices from the surface of the nucleus through to its other side, and is color-coded for two types of genetic material: heterochromatin (blue) and euchromatin (green). The gold color represents mitochondria, the energy production center in cells. Heterochromatin is believed to be the most tightly packed form of chromatin. Neuronal progenitor cells resemble stem cells in that they have the ability to specialize into different cell types, though with a more limited range of differentiation. (Credit: Berkeley Lab, UCSF)},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {11}
}