Mary Brunkow’s #FOXP3 discovery earned her a Nobel, though she left the field soon afterward. Douglas Prasher cloned #GFP in 1992, left the field too, and was notably left out of the #Nobel for its discovery.
https://www.science.org/content/article/what-s-it-tell-someone-she-won-nobel-prize
#Karfreitag – Let’s talk about fish: 🐟🇪🇺
Wie steht es um die Gemeinsame #Fischereipolitik (#GFP) der #EU?
Das EU-Parlament stimmte im Januar für 2 Initiativberichte zur EU-#Fischerei: Einige Umweltverbote sollen gestrichen und die Wettbewerbsfähigkeit verbessert werden.
„Der Umweltschutz geht auf Kosten des Schutzes der #Fischer und die Meerespolitik auf Kosten der lokalen Politik, wo doch die Fischer an vorderster Front stehen sollten“, so der EVP-Abgeordnete Mato.
#FluoPi: Low cost (~$250) #OpenSource multi-#fluorescence #imaging system for #teaching & #research in #biology & #bioengineering:
-#RaspberryPi-/#PiCam-/#Python-controlled
-blue #LED: 470 nm
https://doi.org/10.1371/journal.pone.0187163
#DIYbio #lab #instruments #GoldenGate #GFP #genetics #microbiology
The advent of easy-to-use open source microcontrollers, off-the-shelf electronics and customizable manufacturing technologies has facilitated the development of inexpensive scientific devices and laboratory equipment. In this study, we describe an imaging system that integrates low-cost and open-source hardware, software and genetic resources. The multi-fluorescence imaging system consists of readily available 470 nm LEDs, a Raspberry Pi camera and a set of filters made with low cost acrylics. This device allows imaging in scales ranging from single colonies to entire plates. We developed a set of genetic components (e.g. promoters, coding sequences, terminators) and vectors following the standard framework of Golden Gate, which allowed the fabrication of genetic constructs in a combinatorial, low cost and robust manner. In order to provide simultaneous imaging of multiple wavelength signals, we screened a series of long stokes shift fluorescent proteins that could be combined with cyan/green fluorescent proteins. We found CyOFP1, mBeRFP and sfGFP to be the most compatible set for 3-channel fluorescent imaging. We developed open source Python code to operate the hardware to run time-lapse experiments with automated control of illumination and camera and a Python module to analyze data and extract meaningful biological information. To demonstrate the potential application of this integral system, we tested its performance on a diverse range of imaging assays often used in disciplines such as microbial ecology, microbiology and synthetic biology. We also assessed its potential use in a high school environment to teach biology, hardware design, optics, and programming. Together, these results demonstrate the successful integration of open source hardware, software, genetic resources and customizable manufacturing to obtain a powerful, low cost and robust system for education, scientific research and bioengineering. All the resources developed here are available under open source licenses.
David Usharauli
Laborjournal
Steve Jurrens - News Director
Science-O-Mat
Bose-Einstein-Kondensat
MOyster