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[March, 2023] culture stains & snow days

Can a bat protein treat human inflammation?

A protein from bats shows promise for fighting inflammatory diseases in humans.

“Bats have attracted great attention as a likely reservoir of the SARS-CoV-2 virus responsible for the COVID-19 pandemic,” says Professor Wang Lin-Fa of the Duke-NUS Emerging Infectious Diseases (EID) Programme and senior author of the study in the journal Cell. “But this unique ability to host yet survive viral infections could also have a very positive impact on human health if we can understand and exploit how they achieve this.”

The research is focused on multi-protein complexes called inflammasomes that are responsible for the overactive inflammation that causes serious symptoms in many diseases. Inflammasomes are also implicated in functional decline in aging.

The researchers discovered that a bat protein called ASC2 has a powerful ability to inhibit inflammasomes, thereby limiting inflammation.

“This suggests that the high-level activity of ASC2 is a key mechanism by which bats keep inflammation under control, with implications for their long lifespan and unique status as a reservoir for viruses,” explains Matae Ahn, first author and co-corresponding author of the study and an adjunct research fellow with the EID Programme and the SingHealth Duke-NUS Medicine Academic Clinical Programme.

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"Microbial Rainbow" (detail), Tal Danino, 2018

source

It's not the best "microbiology" art, but it has a very interesting background. Two bacteria from two different clinical cases were inoculated on the TSCB medium. This metallic blue spilling bacterium is of course Pseudomonas aeruginosa. The yellow one (positive reaction on TSCB medium) is Vibrio metschnikovii isolated from chronic UTI in a dog. It was an unusual microbiological diagnosis. But what can you do when even your dog has a better holiday than you? Problems with urination (in this dog) began just after returning from the Mediterranean, the owners and the dog intensively used the charms of warm and salty water.

Unidentified protist. Quite the hyper one. 

ChemistryViews

Silkworms Produce Spider Silk for the First Time - ChemistryViews

Spider silk by silkworms offers a green alternative to synthetic fibers

With the fast fashion industry… how it is… finding sustainable ways to make fabric is super important.  Fibers from synthetic fabrics make up 35% of the microplastics that make their way to the ocean.  Natural fibers sourced from plants or animals are much more environmentally sound options, including silk.

Currently, the only way to get natural silk on a large scale is to harvest it from silkworms.  You’ve probably heard about the strength and durability of spider silk (it is 6x stronger than Kevlar!) but as of yet there hasn’t been a good way of getting it.  Raising spiders the way people do silkworms isn’t really an option.  Spiders need a lot of room to build their webs compared to silkworms, and individual spiders don’t produce that much silk.  Plus, when you put a whole bunch of spiders in captivity together, they tend to start eating each other.

Attempts to artificially recreate spider silk have also been less than successful.  Spider silk has a surface layer of glycoproteins and lipids on it that works as a sort of anti-aging “skin”- allowing the silk to withstand conditions such as sunlight and humidity.  But this layer has been very tricky to reproduce.

However, as scientists in China realized, silkworms produce that same kind of layer on their silk.  So what if we just genetically modified silkworms to produce spider silk?

That is exactly what the researchers at Donghua University in Shanghai did.  A team of researchers introduced spider silk protein genes to silkworms using CRISPR-Cas9 gene editing and microinjections in silkworm eggs.  In addition to this, they altered the spider silk proteins so that they would interact properly with the other proteins in silkworm glands.  And it worked!  This is the first study ever to produce full length spider silk proteins from silkworms.

The applications of this are incredibly exciting.  In addition to producing comfortable textiles and new, innovative bulletproof vests, silkworm generated spider silk could be used in cutting edge smart materials or even just to create better performing sutures.  In the future, this team intends to research how to modify this new spider silk to be even stronger, and they are confident that “large-scale commercialization is on the horizon."

could you explain why/if we can't just copy the genes of one animal and splice them into another animal, for example why we couldn't give humans cat ears?

There's no one easy way to answer this, but the basic answer is that it's not that simple. There's no one gene, or even easily reducible set of genes, that just is "make cat ears". Not only is there a network of genes activated within a cell, there are a myriad of signals from nearby cells (the "microenvironment") as well as cues from the rest of the body and environment.

So each one of the cells making your ear isn't just encoded to be a cell that makes your ear. In fact, most of them don't have any "ear" genetic characteristics or activation. They're generic cartilage or skin cells that were told to grow more or less by neighboring cells or distant cells during carefully coordinated times during growth and development. Each cell interprets this signal in different ways, and also receives multiple signals at a time, the combination of which can produce unique results.

The easiest to interpret example of this is finger development. During development, when your hand is still a fingerless paddle, a single cell on the pinky side of your hand (or thumb side, it could be reversed) releases a signalling molecules to nearby cells. A cell receiving the highest dose will start to become a pinky, and send a signal for the cells immediately around it to aide in that. The next cell that isn't aiding that, but still receives the initial signal, receives a lower concentration of that signal since it's further away. That lower concentration signals a ring finger, and it repeats until you get thumbs at the lowest concentrations.

That's the most visible example, but it's similar to what happens all over the body- signals that are dependent on the structure and genetics of the microenvironment, not just the genetics of the developing cells alone.

This careful network of timing, signals, gene activations, and spatial placement of cells is the core of the field of Developmental Biology (which, technically, my PhD is in as well bc it's often wrapped in with molecular bio lol).

So making cat ears on a human genetically would essentially require not only genetic manipulation, but also babysitting the fetus the entire time and adding in localized signals to the microenvironment of the developing ear cells, which is essentially impossible. There's too much "human" flying around to realistically get that result, and an attempt at doing so would essentially be akin to molecular sculpting. That's why *my* preferred approach would be epithelial stem cell manipulation/printing and subsequent grafting, but that's an entirely different thing.

If you're interested in this kind of thing, the most approachable and engaging summary of developmental biology is the book "Your Inner Fish", by Neil Shubin, the discoverer of Tiktaalik. He summarizes a lot of dev biology through the lens of evolutionary biology, which is a great way to see how differences in structures have arisen and differentiate across the tree of life.

If you want a shorter introduction, and like cute but kinda "cringey in the way you love" science parodies: the song evo-devo by a capella science is really fun and gets stuck in my head a lot:

But yeah, hope that answered your question!

Broad's Scientist Introduce a Machine Learning Model to Identify Genetic Factors for Cardiovascular Diseases

A machine learning model has been introduced by Broad's Scientists to identify genetic factors associated with cardiovascular diseases.

Using the heart as an investigational model, scientists at the Broad Institute of MIT and Harvard have designed an autoencoder-based machine-learning pipeline that can effectively predict a patient’s heart condition based on image data from ECGs and MRIs. The approach could also be used to detect markers related to cardiovascular diseases.

Nearly all areas of medical science have utilized artificial intelligence (AI) over the years. It has been effectively diagnosing diseases and predicting their transmission and prognosis. AI has been used to design therapeutic approaches effectively and has been helpful in the field of drug design. The use of AI in studying cardiovascular diseases has come a long way, especially machine learning-based systems. AI-based algorithms can be trained to predict cardiovascular disease outcomes using available diagnostic imaging technology.

Currently, the field of cardiology uses a variety of imaging technologies, such as ultrasound imaging, magnetic resonance imaging (MRI), computed tomography (CT), etc. The Electrocardiogram (ECG) is a widely used test to monitor the heart’s rhythm. These technologies generate a lot of data that can be utilized to analyze the condition of a person’s heart. The availability of several diagnostic modalities has raised the need for standardized tools for analyzing imaging data effectively. A multi-modal framework built on machine learning techniques has been suggested by researchers from The Broad Institute of MIT and Harvard. The proposed system can help doctors to understand the cardiovascular state of a person using data from MRIs and ECGs. In practice, clinicians can use data generated from the machine learning program to diagnose a patient appropriately.

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i complain alot when it comes to uni and my course, but not gonna lie, here on my final year i've started to fall in love with it again, the way the fascination started when i was younger and learning new things was exciting.

throughout learning it always felt like i was not built for it, that I just cannot for the life of me focus and dedicate myself on anything. and i was just doubting myself and i should change courses or drop out because I was not meant to do this. and now on my second last semester, things kinda clicked. It may be hard for me to understand and learn, but it's worth it. To see the universe in all of its beauty, its ugliness, its complexity, its charm; it's a struggle but I'll endure it for you.

and I find myself really hoping I get to continue down in the stream of sciences and contribute to something for nature and for humanity as well, or at least deepen my understanding of how this universe works and widen my view of how intricate and special this world we live in actually is, how caring it is, how every single thing is worth something, and nothing from nature is ever truly useless