Lectura del gradiente morfogénico de Hedgehog midiendo la proporción de proteína parcheada ligada a la proteína no

Andreu Casali1, Gary Struhl

  • 1Howard Hughes Medical Institute, Department of Genetics and Development, Columbia University, New York, New York 10032, USA.

Nature
|August 10, 2004
PubMed
Resumen

La señalización de Hedgehog (Hh) se basa en los receptores Patched (Ptc). Descubrimos que el Ptc ligado a Hh puede modular la actividad del Ptc no ligado, revelando un nuevo mecanismo para que las células perciban los gradientes de concentración de Hh.

Videos de Conceptos Relacionados

Precipitation Gravimetry01:03

Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
Gradient Fields01:27

Gradient Fields

A gradient field is a vector field derived from a scalar field. A scalar field assigns a single numerical value to every point in space, such as temperature, pressure, or electric potential. The gradient field describes how that value changes from point to point. It gives both the direction of the fastest increase and the rate of change in that direction.For a scalar field f(x, y), the gradient is written as\begin{equation*}\nabla f=\left\langle \jfrac{\partial f}{\partial x},\jfrac{\partial...