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Macro Briefing: 14 November 2022

* Dems hold the Senate as House control remains unclear * Democrats say they’ll address US debt ceiling limit in coming weeks * Fed’s Waller: “We’ve…

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* Dems hold the Senate as House control remains unclear
* Democrats say they’ll address US debt ceiling limit in coming weeks
* Fed’s Waller: “We’ve still got a ways to go” before pausing rate hikes, he says
* Biden meets President Xi and aim to ‘manage out differences’
* FTX collapse prompts rethink for crypto’s role in asset allocation
* Is de-growth the best way to address climate change?
* Pandemic housing bubble is bursting, says chief economist at KPMG.
* Small farmers priced out of market as farmland values reach record highs
* Eurozone industrial production is surprisingly strong in October
* US Dollar Index fell to 3-month low on Friday:

Despite softer consumer inflation data for October, it’s premature to assume that a soft economic landing is the odds-on favorite as inflation-taming efforts continue, says Kelsey Berro, a fixed-income portfolio manager at JPMorgan Asset Management. “The path to a soft landing where the Federal Reserve is able to bring inflation all the way back down to target without causing material economic damage is still narrow. While the direction of travel for inflation should be lower, the pace of deceleration and the ultimate leveling off point remain highly uncertain.”

Global housing markets expected to suffer a brutal slowdown. The International Monetary Funds warns that the market is at a “tipping point” via Financial Times. “As central banks around the globe aggressively tighten monetary policy to tackle price pressures, soaring borrowing costs and tighter lending standards, coupled with stretched house valuations, could lead to a sharp decline in house prices,” advises an IMF report.

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NULISA: Ultra-Sensitive Immunoassay Platform for Profiling Fluid-Based Neurodegenerative Protein Biomarkers

Efforts to identify biomarkers for neurodegenerative disease have been hampered by the lack of a proteomic tool with the required sensitivity to detect…

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Broadcast Date: October 11, 2023
Time: 8:00 am PT, 11:00 am ET, 17:00 CET

Efforts to identify biomarkers for neurodegenerative disease have been hampered by the lack of a proteomic tool with the required sensitivity to detect very low concentrations of brain-derived proteins in plasma or serum and the ability to multiplex many analytes in a single assay.

In this webinar, we will describe the NULISA Platform, a novel immunoassay with attomolar level sensitivity and high multiplex capability. The performance of the NULISA assay was benchmarked to existing immunoassay platforms and Dr. Zetterberg will present data from his evaluation of the NULISA system’s ability to detect serum biomarkers associated with Alzheimer’s disease. Dr. Henrik Zetterberg is a leading researcher in the field of Alzheimer’s disease who has spent the past 10 years focused on the discovery and validation of blood-based biomarkers for CNS disorders.

 

During the presentation we will offer a chance to pose questions to our expert panelists. Any questions submitted during the webinar will be answered at a later date.

Doug Hinerfeld, PhD
Senior Director of Application Support
Alamar Biosciences
Henrik Zetterberg
Henrik Zetterberg, MD, PhD
Professor of Neurochemistry
University of Gothenburg

 

The post NULISA: Ultra-Sensitive Immunoassay Platform for Profiling Fluid-Based Neurodegenerative Protein Biomarkers appeared first on GEN - Genetic Engineering and Biotechnology News.

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Jellyfish are smarter than you think

Jellyfish are more advanced than once thought. A new study from the University of Copenhagen has demonstrated that Caribbean box jellyfish can learn at…

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Jellyfish are more advanced than once thought. A new study from the University of Copenhagen has demonstrated that Caribbean box jellyfish can learn at a much more complex level than ever imagined – despite only having one thousand nerve cells and no centralized brain. The finding changes our fundamental understanding of the brain and could enlighten us about our own mysterious brains.

Credit: Jan Bielecki

Jellyfish are more advanced than once thought. A new study from the University of Copenhagen has demonstrated that Caribbean box jellyfish can learn at a much more complex level than ever imagined – despite only having one thousand nerve cells and no centralized brain. The finding changes our fundamental understanding of the brain and could enlighten us about our own mysterious brains.

After more than 500 million years on Earth, the immense evolutionary success of jellyfish is undeniable. Still, we’ve always thought of them as simple creatures with very limited learning abilities.

The prevailing opinion is that more advanced nervous systems equate with more advanced learning potential in animals. Jellyfish and their relatives, collectively known as cnidarians, are considered to be the earliest living animals to develop nervous systems and to have fairly simple nervous systems and no centralized brain.

For more than a decade, neurobiologist Anders Garm has been researching box jellyfish, a group of jellyfish commonly known for being among the world’s most poisonous creatures. But these lethal jellies are interesting for another reason as well: it turns out that they are not quite as simple as once believed. And this shakes our entire understanding of what simple nervous systems are capable of.

“It was once presumed that jellyfish can only manage the simplest forms of learning, including habituation – i.e., the ability to get used to a certain stimulation, such as a constant sound or constant touch. Now, we see that jellyfish have a much more refined ability to learn, and that they can actually learn from their mistakes. And in doing so, modify their behavior,” says Anders Garm, an associate professor at the University of Copenhagen’s Department of Biology.

One of the most advanced attributes of a nervous system is the ability to change behavior as a result of experience – to remember and learn. The research team, headed by Jan Bielecki of Kiel University and Anders Garm, set out to test this ability in box jellyfish. The findings have just been published in the journal Current Biology.

A thousand nerve cells are more capable than once thought

The scientists studied the Caribbean box jellyfish, Tripedalia cystophora, a fingernail-sized medusa that lives in Caribbean mangrove swamps. Here, they use their impressive visual system including 24 eyes to hunt for tiny copepods among mangrove roots. While making for a good hunting grounds, the web of roots is also a dangerous place for soft-bodied jellies.

So, as the small box jellyfish approach the mangrove roots, they turn and swim away. Should they veer too soon, they won’t have enough time to catch any copepods. But if they turn too late, they risk bumping into the root and damaging their gelatinous bodies. Thus, assessing distances is crucial for them. And here, contrast is the key, as the researchers discovered: 

“Our experiments show that contrast, i.e., how dark the root is in relation to the water, is used by the jellyfish to assess distances to roots, which allows them to swim away at just the right moment. Even more interesting is that the relationship between distance and contrast changes on a daily basis due to rainwater, algae and wave action,” says Anders Garm, who continues:

“We can see that as each new day of hunting begins, box jellyfish learn from the current contrasts by combining visual impressions and sensations during evasive manoeuvres that fail. So, despite having a mere one thousand nerve cells – our brains have roughly 100 billion – they can connect temporal convergences of various impressions and learn a connection – or what we call associative learning. And they actually learn about as quickly as advanced animals like fruit flies and mice.”

The new research results break with previous scientific perceptions of what animals with simple nervous systems are capable of:

“For fundamental neuroscience, this is pretty big news. It provides a new perspective on what can be done with a simple nervous system. This suggests that advanced learning may have been one of the most important evolutionary benefits of the nervous system from the very beginning,” says Anders Garm.

Seeking the brain cells where memory is housed 

The research team has also shown where the learning is happening in these box jellyfish. This has given them unique opportunities for how to now study the precise changes that occur in a nerve cell when it is involved in advanced learning.   

“We hope that this can become a supermodel system for looking at cellular processes in the advanced learning of all sorts of animals. We are now in the process of trying to pinpoint exactly which cells are involved in learning and memory formation. Upon doing so, we will be able to go in and look at what structural and physiological changes occur in the cells as learning takes place,” says Anders Garm.

If the scientists are able to pinpoint the exact mechanisms in jellyfish involved in learning, the next step will be to find out whether it applies specifically to jellies or if it can be found in all animals.

“Eventually, we will look for the same mechanisms in other animals, to see if this is how memory works in general,” says the researcher.

This kind of groundbreaking knowledge could be used for a wealth of purposes, according to Anders Garm:

“Understanding something as enigmatic and immensely complex as the brain is in itself an absolutely amazing thing. But there are unimaginably many useful possibilities. One major problem in the future will undoubtedly be various forms of dementia. I don’t claim that we are finding the cure for dementia, but if we can gain a better understanding of what memory is, which is a central problem in dementia, we may be able to lay a building block to better understand the disease and perhaps counteract it,” concludes the researcher.

 

FACT BOX:  ABOUT TRIPEDALIA CYSTOPHORA

  • Box jellyfish are a class of jellyfish known for being among the most poisonous animals in the world. They use their venom to catch fish and large shrimp. Tripedalia cystophora has a somewhat milder venom and feeds on tiny copepods.
     
  • Box jellyfish do not have a centralized brain like most animals. Instead, they have four parallel brain-like structures, with approximately holds a thousand nerve cells in each. A human brain has approximately 100 billion nerve cells.
     
  • Box jellyfish have twenty four eyes distributed among their four brain-like structures. Some of these eyes are image forming, providing box jellyfish with more complex vision than other types of jellyfish.
     
  • To find their way through murky mangroves, four of Tripedalia cystophora’s eyes look up through the surface of the water and navigate using the mangrove canopies.
     
  • Tripedalia cystophora is one of the smallest box jellyfish species, with a body of only about one centimeter in diameter. It lives in the Caribbean Sea and Central Indo-Pacific.
     
  • Unlike many jellyfish species, Tripedalia cystophora actually mates as the male captures the female with its tentacles. A female’s eggs are then fertilized in their gut system, where they also develop into larvae.

 

[FACT BOX:]  HOW THEY DID IT

The researchers replicated mangrove swamp conditions in the laboratory, where box jellyfish were placed in a behavioral arena. Here, the researchers manipulated jellyfish behavior by changing the contrast conditions to see what effect this had on their behavior.

They learned that jellyfish learning takes place through failed evasions. That is, they learn from misinterpreting contrast and bumping into roots. Here they combined the visual impression and mechanical shock they got whenever they bumped into a root – and in doing so, learned when to veer away.

“Our behavioural experiments demonstrate that three to five failed evasive manoeuvres are enough to change the jellyfish’s behaviour so that they no longer hit the roots. It is interesting that this is roughly the same repetition rate that a fruit fly or mouse needs to learn,” says Anders Garm.

The learning was further verified through electrophysiology and classical conditioning experiments, which also showed where in the jellyfish’s nervous system the learning takes place.

 

[FACT BOX:]  ABOUT THE STUDY

The study was conducted by Jan Bielecki from Kiel University and Anders Garm, Sofie Katrine Dam Nielsen and Gösta Nachman from the Department of Biology, University of Copenhagen.

The study has just been published in the scientific journal Current Biology.

 

VIDEO LINK:

https://video.ku.dk/secret/88818429/e5f680af70640f1fd86e5d54e5e95f1a


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Bitcoin fails to recoup post-Fed losses as $20K BTC price returns to radar

Bitcoin is a bargain for some at current levels, but downside BTC price predictions remain firmly on the agenda.
Bitcoin (BTC) circled…

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Bitcoin is a bargain for some at current levels, but downside BTC price predictions remain firmly on the agenda.

Bitcoin (BTC) circled lower after the Sept. 21 Wall Street open as $20,000 BTC price predictions resurfaced.

BTC/USD 1-hour chart. Source: TradingView

Bitcoin analysis: Hype, FOMO and a “slow grind” to $28,500

Data from Cointelegraph Markets Pro and TradingView covered a lackluster 24 hours for BTC price action, with $27,000 fading from view.

The aftermath of the United States Federal Reserve interest rates pause offered little for Bitcoin bulls, BTC/USD having dipped almost $700 the day prior.

Now, market participants returned to a more conservative outlook in the absence of tangible volatility.

“Something like this over the course of October would be perfect i would say,” popular trader Crypto Tony told X (formerly Twitter) subscribers.

“Slow grind up to $28,500, followed by hype and FOMO, to then dump it once more.”
BTC/USD annotated chart. Source: Crypto Tony/X

Monitoring resource Material Indicators meanwhile eyed a so-called “death cross” on the weekly chart.

The death cross occurs when certain moving averages (MAs) collide, and here, the 21-week MA was on course to head below the 200-week equivalent.

“The 21-Week and the 200-Week Moving Averages are on a collision course for a DeathCross on the BTC Weekly candle Close/Open,” it warned in an X post on the day.

Material Indicators referenced a potential lower low (LL) at the weekly close.

“The 50-Week MA, may provide some temporary support and even trigger a short term rally, but if PA takes us there, it will print a LL which I believe opens the door to grind down to test $20k,” it added.

BTC/USD 1-week chart with 21, 200 MA. Source: TradingView

On the horizon was the liquidation of crypto assets by defunct exchange FTX — an event that could contribute to BTC selling pressure.

“If there is a base case for hopium, it’s that FTX liquidators don’t want to see too much price erosion before they start distributing, and may try to prop price up a little longer. That’s purely speculative, but not out of the realm of possibilities,” the X post concluded.

Traders eye bargain BTC price levels

More optimistic takes included that from popular trader and analyst CryptoCon, who maintained that Bitcoin was in the first innings of its next bull market.

Related: Bitcoin short-term holders ‘panic’ amid nearly 100% unrealized loss

“Doesn’t get much simpler than this. Bitcoin early and late Bull Market in green, Bear Market ends in red,” he commented alongside a chart shortly following the Fed news.

Just as confident was fellow trader Jelle, who suspected a prime buying opportunity for prospective BTC investors at current prices.

BTC/USD traded at around $26,600 at the time of writing, making September gains equal to around 2.5% — still Bitcoin’s best month since 2016.

Per data from monitoring resource CoinGlass, Bitcoin has delivered losses every September since.

BTC/USD monthly returns (screenshot). Source: CoinGlass

This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.

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