Identifying Brain Regions Automatically
Using the example of the fruit fly, a team of biologists led by Prof. Dr. Andrew Straw has identified patterns in the genetic activity of brain cells and taken them as a basis for drawing conclusions about the structure of the brain. The research, published in Current Biology, was conducted at the University of Freiburg and at the Research Institute of Molecular Pathology (IMP) in Vienna, Austria.
The newly developed method focuses on enhancers, DNA segments responsible for enhancing transcription of RNA at specific locations and developmental times in an organism. The research started with a database of three-dimensional images showing individual enhancer activity. The team used an automatic pattern finding algorithm to identify genetic activity patterns shared across the images.
They noticed that, in some cases, these patterns seemed to correspond with specific brain regions. To demonstrate the functionality of their method, the biologists began by applying it to regions of the fruit fly brain whose anatomy is already well known – namely, those responsible for the sense of smell. The activity patterns of the enhancers traced the already familiar anatomy of these regions.
Then the biologists used the new method to study brain regions responsible for vision. These experiments led to new insights into the anatomy of these areas: In addition to eleven already known regions, the activity patterns of the enhancers revealed 14 new regions, each of which presumably serves a different function for the fruit fly’s sense of sight. The researchers now aim to conduct further studies to determine which regions are responsible for which functions.
Andrew Straw has served since January 2016 as professor of behavioral neurobiology and animal physiology at the University of Freiburg’s Faculty of Biology and is a member of the Bernstein Center Freiburg (BCF). Before their move to Freiburg, he and his research assistants Karin Panser and Dr. Laszlo Tirian worked at the Research Institute of Molecular Pathology in Vienna in collaboration with Dr. Florian Schulze, Virtual Reality and Visualization Research Center GmbH (VRVis).
The goal of Straw’s research is to achieve a better understanding of the structure and function of the brain. He hopes this basic research will ultimately help in the design of therapies for patients suffering from neurological diseases affecting specific regions of the brain.
Results and visualizations:
https://strawlab.org/braincode
Original publication:
Panser, K./Tirian, L./Schulze, F./Villalba, S./Jefferis, G./Bühler, K./Straw, A. (2016): Automatic segmentation of Drosophila neural compartments using GAL4 expression data reveals novel visual pathways. In: Current Biology.
Contact:
Prof. Dr. Andrew Straw
Institute of Biology I (Zoology)
University of Freiburg
Phone: +49 (0)761/203-67685
E-Mail: andrew.straw@biologie.uni-freiburg.de
Media Contact
All latest news from the category: Life Sciences and Chemistry
Articles and reports from the Life Sciences and chemistry area deal with applied and basic research into modern biology, chemistry and human medicine.
Valuable information can be found on a range of life sciences fields including bacteriology, biochemistry, bionics, bioinformatics, biophysics, biotechnology, genetics, geobotany, human biology, marine biology, microbiology, molecular biology, cellular biology, zoology, bioinorganic chemistry, microchemistry and environmental chemistry.
Newest articles
NASA: Mystery of life’s handedness deepens
The mystery of why life uses molecules with specific orientations has deepened with a NASA-funded discovery that RNA — a key molecule thought to have potentially held the instructions for…
What are the effects of historic lithium mining on water quality?
Study reveals low levels of common contaminants but high levels of other elements in waters associated with an abandoned lithium mine. Lithium ore and mining waste from a historic lithium…
Quantum-inspired design boosts efficiency of heat-to-electricity conversion
Rice engineers take unconventional route to improving thermophotovoltaic systems. Researchers at Rice University have found a new way to improve a key element of thermophotovoltaic (TPV) systems, which convert heat…