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A new mouse study highlights the proteins responsible for LC3-associated endocytosis (LANDO), an autophagy process that is involved in degrading β-amyloid, the principal substance associated with Alzheimer’s disease.

Proteostasis

Proteins in the human brain can form misfolded, non-functional, and toxic clumps known as aggregates. Preventing these aggregates from forming, and removing them when they do, is a natural function of the human body, and it is known as proteostasis. However, as we age, this function degrades, and loss of proteostasis is one of the hallmarks of aging. The resulting accumulation of aggregates leads to several deadly diseases, one of which is Alzheimer’s.

HUNTERSVILLE, N.C. (WCNC) – A North Carolina couple couldn’t bear to break the bond they had with their furry feline friend. So after 19-year-old Cinnabun passed away, the Bullerdicks decided to clone their kitty.

The cost? A whopping price of $25,000.

The couple found a Texas-based company known for cloning dogs, cats and horses. They bought a kit and with a skin sample and saliva sample… Cinnabun the second was born.

Flashback to 2 years ago…


Scientists from Maastricht University have developed a method to look into the brain of a person and read out who has spoken to him or her and what was said. With the help of neuroimaging and data mining techniques the researchers mapped the brain activity associated with the recognition of speech sounds and voices.

In their Science article “‘Who’ is Saying ‘What’? Brain-Based Decoding of Human Voice and Speech,” the four authors demonstrate that speech sounds and voices can be identified by means of a unique ‘neural fingerprint’ in the listener’s brain. In the future this new knowledge could be used to improve computer systems for automatic speech and speaker recognition.

Seven study subjects listened to three different speech sounds (the vowels /a/, /i/ and /u/), spoken by three different people, while their brain activity was mapped using neuroimaging techniques (fMRI). With the help of data mining methods the researchers developed an algorithm to translate this brain activity into unique patterns that determine the identity of a speech sound or a voice. The various acoustic characteristics of vocal cord vibrations (neural patterns) were found to determine the brain activity.