A software program created by an engineer at the University of Wisconsin–Milwaukee (UWM) can not only predict the types of specialized cells a stem cell will produce, but also foresee the outcome before the stem cell even divides.
The software, developed by Andrew Cohen, an assistant professor of electrical engineering, analyzes time-lapse images capturing live stem cell behaviors. It will allow scientists to search for mechanisms that control stem cell specialization, the main obstacle in advancing the use of stem cell therapy for treatment of disease. It could also lead to new research into causes of cancer, which involves cells that continuously self-renew.
Stem cells play a key role in human development, and also offer the potential to repair tissues or organs damaged by disease or injury. But, in order to use stem cell-based therapies, biologists need to better understand the mechanisms that control stem cell differentiation.
"This is a brand-new set of tools for developmental biologists," says Cohen, "and it supports an area where no other predictive solutions exist."
The research is published Feb. 7 in the journal Nature Methods. Co-authors are Michel Cayouette and Francisco Gomez neurobiologists at the Institut de recherches cliniques de Montreal, and Badri Roysam, a computer engineering professor at Rensselaer Polytechnic Institute.
The software is 87 percent accurate in determining the specific "offspring" a stem cell will ultimately produce, and 99 percent accurate in predicting when self-renewal of these stem cells will end in specialization.
A hunt for markers
As an example of the software's utility, Cohen cites using stem cells to treat the eye disease macular degeneration. The stem cells would need to produce more photoreceptor neurons for treatment to succeed. "But if you simply implant the stem cells into the retina, there are other types of cells that could develop," he says, "and that could potentially make the patient's vision worse."
Finding a solution has been hampered by the fact that there are very few markers that can predict cell division outcomes.
Subtle behaviors that characterize populations of stem cells with different fates are difficult or impossible for human observers to recognize. Cohen's tool, which runs on a standard PC, is able to track and generate predictions for up to 40 cells in real time. It outperforms the human eye in detecting differences in how the cells change over time.
Current methods of observing live cells produce terabytes of data, a volume that requires massive amounts of computation to find the most relevant information. A new computer cluster in CEAS was acquired for just this kind of research. To manage the predictive aspects of the program, Cohen used a uniquely sensitive mathematical approach based on algorithmic information theory.
Answers in DNA
Scientists know little about programming of stem cell outcomes except that it is a multifaceted process.
"In many cases, stem cells take their developmental cues from their environment," says Cohen. "Part of the programming mechanism is determined by surrounding cells. But once these cells begin to develop in a particular way, their offspring continue down that path even if the environment changes. So at some point they have been programmed to their fate."
The researchers designed the software to be used for isolating the genes and proteins that control the specialization process, which could allow researchers to identify and ultimately manipulate these programmed mechanisms.
Brian Link is a developmental biologist at the Medical College of Wisconsin who works with Cohen but is not an author on the Nature Methods paper. The two will be putting the software to the test to study behaviors of organelles within the cell as indicators of stem cell fate.
"The method isn't perfect," says Link. "It doesn't tell us about the influence of the behaviors. It tells us that a particular behavior is important, but it doesn't tell us how."
Still, the tool has already proven itself, he says. In a study of stem cells from the retinas of rats, Cohen's software independently confirmed the significance of at least one of the cell behaviors that Link's lab had previously identified using a gene manipulation technique
Andrew Cohen | EurekAlert!
Fine organic particles in the atmosphere are more often solid glass beads than liquid oil droplets
21.04.2017 | Max-Planck-Institut für Chemie
Study overturns seminal research about the developing nervous system
21.04.2017 | University of California - Los Angeles Health Sciences
The nearby, giant radio galaxy M87 hosts a supermassive black hole (BH) and is well-known for its bright jet dominating the spectrum over ten orders of magnitude in frequency. Due to its proximity, jet prominence, and the large black hole mass, M87 is the best laboratory for investigating the formation, acceleration, and collimation of relativistic jets. A research team led by Silke Britzen from the Max Planck Institute for Radio Astronomy in Bonn, Germany, has found strong indication for turbulent processes connecting the accretion disk and the jet of that galaxy providing insights into the longstanding problem of the origin of astrophysical jets.
Supermassive black holes form some of the most enigmatic phenomena in astrophysics. Their enormous energy output is supposed to be generated by the...
The probability to find a certain number of photons inside a laser pulse usually corresponds to a classical distribution of independent events, the so-called...
Microprocessors based on atomically thin materials hold the promise of the evolution of traditional processors as well as new applications in the field of flexible electronics. Now, a TU Wien research team led by Thomas Müller has made a breakthrough in this field as part of an ongoing research project.
Two-dimensional materials, or 2D materials for short, are extremely versatile, although – or often more precisely because – they are made up of just one or a...
Two researchers at Heidelberg University have developed a model system that enables a better understanding of the processes in a quantum-physical experiment...
Glaciers might seem rather inhospitable environments. However, they are home to a diverse and vibrant microbial community. It’s becoming increasingly clear that they play a bigger role in the carbon cycle than previously thought.
A new study, now published in the journal Nature Geoscience, shows how microbial communities in melting glaciers contribute to the Earth’s carbon cycle, a...
20.04.2017 | Event News
18.04.2017 | Event News
03.04.2017 | Event News
21.04.2017 | Physics and Astronomy
21.04.2017 | Health and Medicine
21.04.2017 | Physics and Astronomy