What is life?
That fundamental question fascinated Babette Babich, Ph.D., professor of philosophy, when she was an undergraduate student, so she majored in biology.
But the answer she was looking for was not to be found in the natural sciences. Instead, she discovered it in the dense texts of Friedrich Nietzsche and Martin Heidegger, philosophers whose ideas about life fueled her desire to explore that critical question.
A new study by Calico found that our genes determine our lifespan much less than previously accepted and lifespan heritability is less than seven percent.
Although long life tends to run in families, genetics has far less influence on life span than previously thought, according to a new analysis of an aggregated set of family trees of more than 400 million people. The results suggest that the heritability of life span is well below past estimates, which failed to account for our tendency to select partners with similar traits to our own. The research, from Calico Life Sciences and Ancestry, was published in Genetics.
“We can potentially learn many things about the biology of aging from human genetics, but if the heritability of life span is low, it tempers our expectations about what types of things we can learn and how easy it will be,” says lead author Graham Ruby. “It helps contextualize the questions that scientists studying aging can effectively ask.”
Ruby’s employer, Calico Life Sciences, is a research and development company whose mission is to understand the biology of aging. They teamed up with scientists from the online genealogy resource Ancestry, led by Chief Scientific Officer Catherine Ball, to use publicly available pedigree data from Ancestry.com to estimate the heritability of human life span.
Solid-liquid filtration is a ubiquitous process found in industrial and biological systems. Although implementations vary widely, almost all filtration systems are based on a small set of fundamental separation mechanisms, including sieve, cross-flow, hydrosol, and cyclonic separation. Anatomical studies showed that manta rays have a highly specialized filter-feeding apparatus that does not resemble previously described filtration systems. We examined the fluid flow around the manta filter-feeding apparatus using a combination of physical modeling and computational fluid dynamics. Our results indicate that manta rays use a unique solid-fluid separation mechanism in which direct interception of particles with wing-like structures causes particles to “ricochet” away from the filter pores. This filtration mechanism separates particles smaller than the pore size, allows high flow rates, and resists clogging.
Several fundamental mechanisms for solid-fluid separation have been described in the biological and engineering literature, including sieve (1, 2), cross-flow (3–6), hydrosol , and cyclonic separation. Sieve filtration passes a mixture of particles and fluid through a structure with regularly sized pores, causing the particles to be retained while the fluid is drained. Although effective, sieve filters must have pore sizes smaller than the particle size, and they inevitably clog in use (2, 8, 9). Cross-flow filtration is similar to sieving, except that the incoming flow runs parallel rather than perpendicular to the filter. This configuration shears captured particles off the filter’s surface, which reduces but does not eliminate clogging (5, 6). Unlike sieve and cross-flow filters, hydrosol and cyclonic filtration do not require regularly sized pores.
A recent experiment may have placed living organisms in a state of quantum entanglement.
Despite the simplicity of their visual system, fruit flies are able to reliably distinguish between individuals based on sight alone. This is a task that even humans who spend their whole lives studying Drosophila melanogaster struggle with. Researchers have now built a neural network that mimics the fruit fly’s visual system and can distinguish and re-identify flies. This may allow the thousands of labs worldwide that use fruit flies as a model organism to do more longitudinal work, looking at how individual flies change over time. It also provides evidence that the humble fruit fly’s vision is clearer than previously thought.
In an interdisciplinary project, researchers at Guelph University and the University of Toronto, Mississauga combined expertise in fruit fly biology with machine learning to build a biologically-based algorithm that churns through low-resolution videos of fruit flies in order to test whether it is physically possible for a system with such constraints to accomplish such a difficult task.
Fruit flies have small compound eyes that take in a limited amount of visual information, an estimated 29 units squared (Fig. 1A). The traditional view has been that once the image is processed by a fruit fly, it is only able to distinguish very broad features (Fig. 1B). But a recent discovery that fruit flies can boost their effective resolution with subtle biological tricks (Fig. 1C) has led researchers to believe that vision could contribute significantly to the social lives of flies. This, combined with the discovery that the structure of their visual system looks a lot like a Deep Convolutional Network (DCN), led the team to ask: “can we model a fly brain that can identify individuals?”
Using engineered nanocomposite structures called metamaterials, a City College of New York-led research team reports the ability to measure a significant increase in the energy transfer between molecules. Reported in the journal ACS Photonics, this breakthrough breaks the F\xF6rster resonance energy transfer (FRET) distance limit of ~10–20 nanometers, and leads to the possibility of measuring larger molecular assemblies.
And since FRET is a staple technique in many biological and biophysical fields, this new development could benefit pharmaceuticals, for instance.
“Energy transfer between molecules plays a central role in phenomena such as photosynthesis and is also used as a spectroscopic ruler for identifying structural changes of molecules,” said Vinod Menon, professor of physics in City College’s Division of Science. “However, the process of energy transfer is usually limited in the distance over which it occurs, typically reaching 10 to 20 nm.”
In support of the NAD+ Mouse Project over at Lifespan.io, Dr. David Sinclair will be doing an AMA on Reddit Futurology Tuesday, October 23, 2018 from 11:00 – 12:00 AM EDT. Dr. Sinclair will be answering questions from the community about his work with NAD+ biology, Sirtuins, and why the NAD+ Mouse Project is important for aging research. To ask your question please visit the AMA thread on Reddit Futurology here.
For those not familiar with NAD+ biology we did the NAD+ World series recently which explores this area of the biology of aging. We also took a look at why NAD+ appears to decline as we age and what is one of the most likely reasons for this.
Dr. Sinclair and his team at Harvard Medical School are currently hosting the NAD+ Mouse Project with us at Lifespan.io which is aiming to conduct long-term studies into the ability of NAD+ precursor molecule, NMN, to delay or even reverse some aspects of aging.
Exciting visitor at the Real Bodies (https://www.realbodies.it/) exhibit!
The lovely Ms. Chiara Bordi (https://www.facebook.com/Chiara-Bordi-474572166390000/), Miss Italia 3rd place runner up (aka the “Bionic Beauty”) stopping by to visit our associates at HealthQE (www.healthqe.cloud), and QantiQa (https://www.qantiqa.com/), to test out their new Musyke device
Bio-mechanics and Bio-acoustics
Two critical components in the regeneration, repair, and rejuvenation equation, and part of the integrated age-reversal paradigm of Embrykinesis at Bioquark Inc.- (www.bioquark.com)
