Converting Cancer Cells to Fat Cells to Stop Cancer’s Spread

A method for fooling breast cancer cells into fat cells has been discovered by researchers from the University of Basel. The team were able to transform EMT-derived breast cancer cells into fat cells in a mouse model of the disease – preventing the formation of metastases. The proof-of-concept study was published in the journal Cancer Cell.

Malignant cells can rapidly respond and adapt to changing microenvironmental conditions, by reactivating a cellular process called epithelial-mesenchymal transition (EMT), enabling them to alter their molecular properties and transdifferentiate into a different type of cell (cellular plasticity).

Senior author of the study Gerhard Christofori, professor of biochemistry at the University of Basel, commented in a recent press release: “The breast cancer cells that underwent an EMT not only differentiated into fat cells, but also completely stopped proliferating.”

“As far as we can tell from long-term culture experiments, the cancer cells-turned-fat cells remain fat cells and do not revert back to breast cancer cells,” he explained.

Source: Converting Cancer Cells to Fat Cells to Stop Cancer’s Spread | Technology Networks

Forget Finding Nemo: This AI can identify a single zebrafish out of a 100-strong shoal

AI systems excel in pattern recognition, so much so that they can stalk individual zebrafish and fruit flies even when the animals are in groups of up to a hundred.

To demonstrate this, a group of researchers from the Champalimaud Foundation, a private biomedical research lab in Portugal, trained two convolutional neural networks to identify and track individual animals within a group. The aim is not so much to match or exceed humans’ ability to spot and follow stuff, but rather to automate the process of studying the behavior of animals in their communities.

“The ultimate goal of our team is understanding group behavior,” said Gonzalo de Polavieja. “We want to understand how animals in a group decide together and learn together.”

The resulting machine-learning software, known as idtracker.ai, is described as “a species-agnostic system.” It’s “able to track all individuals in both small and large collectives (up to 100 individuals) with high identification accuracy—often greater than 99.9 per cent,” according to a paper published in Nature Methods on Monday.

The idtracker.ai software is split into a crossing-detector network and an identification network. First, it was fed video footage of the animals interacting in their enclosures. For example in the zebrafish experiment, the system pre-processes the fish as coloured blobs and learns to identify the animals as individuals or which ones are touching one another or crossing past each other in groups. The identification network is then used to identify the individual animals during each crossing event.

Surprisingly, it reached an accuracy rate of up to 99.96 per cent for groups of 60 zebrafish and increased to 99.99 per cent for 100 zebrafish. Recognizing fruit flies is harder. Idtracker.ai was accurate to 99.99 per cent for 38 fruit flies, but decreased slightly to 99.95 per cent for 72 fruit flies.

Source: Forget Finding Nemo: This AI can identify a single zebrafish out of a 100-strong shoal • The Register

Cottoning on: Chinese seed sprouts on moon

A small green shoot is growing on the moon in an out-of-this-world first after a cotton seed germinated on board a Chinese lunar lander, scientists said Tuesday.

The sprout has emerged from a lattice-like structure inside a canister since the Chang’e-4 lander set down earlier this month, according to a series of photos released by the Advanced Technology Research Institute at Chongqing University.

“This is the first time humans have done biological growth experiments on the ,” said Xie Gengxin, who led the design of the experiment.

The Chang’e-4 probe—named after a Chinese moon goddess—made the world’s first soft landing on the moon’s “dark side” on January 3, a major step in China’s ambitions to become a space superpower.

Scientists from Chongqing University —who designed the “mini lunar biosphere” experiment—sent an 18-centimetre (seven-inch) bucket-like container holding air, water and soil.

Inside are cotton, potato, and arabidopsis seeds—a plant of the mustard family—as well as fruit fly eggs and yeast.

Images sent back by the probe show a cotton sprout has grown well, but so far none of the other plants has taken, the university said.

Read more at: https://phys.org/news/2019-01-cottoning-chinese-seed-moon.html#jCp

Source: Cottoning on: Chinese seed sprouts on moon

Relying on karma: Research explains why outrage doesn’t usually result in revolution

If you’re angry about the political feud that drove the federal government to partially shut down, or about a golden parachute for a CEO who ran a business into the ground, you aren’t alone—but you probably won’t do much about it, according to new research by Carnegie Mellon University’s Tepper School of Business.

The research, coauthored by Rosalind Chow, Associate Professor of Organizational Behavior and Theory, and Jeffrey Galak, Associate Professor of Marketing, outlines how people respond to two types of injustices: when bad things happen to good people, and when good things happen to bad people.

In the first instance—a bad thing happening to a good person, such as a hurricane devastating a town—human beings are reliably motivated to help, but only in a nominal way, according to the research.

“Everybody wants to help. They just do it to a small degree,” Galak explains. “When a hurricane happens, we want to help, but we give them 10 bucks. We don’t try to build them a new house.”

This response illustrates that even a small amount can help us feel that justice is restored, Chow explains: “You checked the box of doing something good, and the world seems right again.”

But the converse is not necessarily true: When the universe rewards bad people despite their rotten behavior, people are usually reluctant to do anything about it, even when they’re angry at the unfairness of the situation.

That’s because people often feel that the forces at play in creating the unfair situation are beyond their control, or would at least be too personally costly to make the effort worthwhile, Galak says. So, we stay angry, but often we settle for the hope that karma will eventually catch up.

On the rare occasions when people do decide to take action against a bad person, the research says they go for broke, spending all their resources and energy—not just a token amount—in an effort to deprive that person of everything they shouldn’t have gotten. The desire to completely wipe out a bad person’s ill-gotten gains is driven by a sense that justice will not be served until the bad person will be effectively deterred from future bad behavior, which is unlikely to be the case if the punishment is a slap on the wrist. For example, for individuals who believe that President Trump was unjustly rewarded the presidency, indictment may be seen as insufficient to deter future bad behavior on his part. Only by completely removing his fortune—impeachment from the presidency, dissolution of his businesses—does justice seem to be adequately served. But given that those outcomes are unlikely, many Americans stew in anger and hope for the best.

So when ordinary people see bad things happening to good people, pitching in a few dollars feels good enough. Pitching in a few dollars to punish a bad person who has been unjustly rewarded, however, doesn’t cut it; only when people feel that their actions are guaranteed to send an effective signal to the bad person will they feel compelled to act. Since that sort of guarantee is hard to come by, most people will just stand by and wait for karma to catch up.

Read more at: https://phys.org/news/2019-01-karma-outrage-doesnt-result-revolution.html#jCp

Source: Relying on karma: Research explains why outrage doesn’t usually result in revolution

However, it doesn’t answer the question: what then does result in revolution?