Research studies and novel discoveries continually reshape our understanding of the natural world, often refining—and sometimes contesting—prevailing scientific theories. While this influx of new information is important for expanding knowledge, it can also give rise to myths and misconceptions stemming from biases, media misrepresentations and overgeneralizations. In this blog, we’ll explore misconceptions that blur the lines between fact and fiction, some scientific myths that just won’t go die and theories that scientists can’t stop debating.
Humans Only Use 10% of Their Brain
This myth, frequently perpetuated through movies like Lucy with Scarlett Johansson and Limitless with Bradely Cooper, has ambiguous roots. Some attribute this pseudoscience to Albert Einstein, despite no recorded record of such a claim, while others associate it with a misinterpretation of William James and his “Reserve Energy Theory” (8).
Public awareness of mental disorders has increased over the past decade. Post-traumatic stress disorder (PTSD), anxiety and depression are both debilitating and complex to approach therapeutically. Recent research has begun exploring monoamine oxidase (MAO) enzymes as potential treatment options. MAO enzymes are responsible for the metabolism of monoamine neurotransmitters in the central nervous system, such as serotonin and dopamine (Jones & Raghanti, 2021). Abnormal levels of these neurotransmitters within the nervous system are a key characteristic of several neurological conditions. Thus, exploring MAO regulation may help our understanding of these complex clinical conditions.
Imagination is often considered a uniquely human trait. Simply put, it is what allows us to think about things that aren’t happening in that moment, and it plays an integral part in our day-to-day lives. We use it when we think through our calendar for the day, consider restaurant options for dinner, or visualize the best route. It turns out this trait might not be as unique to humans as we thought. In fact, a study published in Science suggests that we might share this ability with rats (1).
Rats are the most divisive of rodents. Some people see disease-carrying scourges; some see intelligent, affectionate creatures with larger-than-life personalities; and still others simply can’t get past their bare tails and small eyes. Love them or hate them, science has shown that there is more to these creatures than meets the eye. They are intelligent, ticklish and empathetic; and the study in Science suggests, imaginative.
Most animals in the world are what biologists refer to as “bilateral”—their left and right sides mirror one another. It is also typically easy to tell which part of most animals is the top and which is the bottom. The anatomical arrangements of certain other animals, however, are slightly more confounding, for instance in the case of echinoderms, which include sea urchins, sand dollars and starfish. These animals are “pentaradial”, with five identical sections of the body radiating from a central axis. The question of how these creatures evolved into such a state has been a puzzle pondered by many a biologist, with little progress made until recently. In a new study published in Nature, scientists closely examining the genetic composition of starfish point to some key evidence that suggests a starfish is mostly just a head.
Starfish are a deuterostome, belonging to the superphylum Deuterostomia. Most deuterostomes are bilateral, leading scientists to believe that, despite their peculiar body plan, starfish evolved from a bilateral ancestor. This is supported by the fact that starfish larvae actually start out bilateral, and eventually transform into the characteristic star shape. But where the head of the starfish is, or whether it even has one, has proved difficult for scientists to parse out, especially since their outward structure offers no real clues.
There have been a number of theories posited, such as the duplication hypothesis—where each of the five sections of a starfish could be considered “bilateral”, placing the head at the center—and the stacking hypothesis, which asserts that the body is stacked atop the head. In a bilateral body plan, anterior genes broadly code for the front, or the head-region, and posterior genes are primarily responsible for the tail. The torso, or “trunk”, is the result of complex interplay between both anterior and posterior, as well as other types of genes. Researchers in this new study looked at the expression of these genes throughout the body plan as a possible source of clarity as to which part of the starfish is its head and which parts comprise the body.
To this end, researchers used advanced molecular and genetic sequencing techniques including RNA tomography and in situ hybridization. RNA tomography allowed them to create a three-dimensional map of gene expression throughout the limbs of the sea star Patiria miniate. In situ hybridization is a fluorescent staining technique that offered them a means by which to examine where exactly anterior or posterior genes are expressed in the sea star’s tissue, providing a clearer picture of genetic body patterning.
Remarkably, scientists found that anterior or head-coding genes were expressed in the starfish’s skin, including head-like regions appearing in the center, or midline, of each arm, while tail-coding genes were only seen at the outer edges of the arms. Perhaps even more remarkable was the lack of genetic patterning accounting for a trunk or torso, leading scientists to the conclusion that starfish are, for the most part, just heads.
Whether this holds true for other echinoderms remains to be proven, and further investigations into starfish anatomy may seek to pinpoint where in the timeline the trunk was lost. Overall, research like this helps scientists understand how life came to look the way it does. Oddly shaped creatures like the humble starfish can offer insight into the strange evolutionary processes that result in such rich biodiversity across the animal kingdom.
Prior to the COVID-19 pandemic, the incidence of adolescent type 1 diabetes was steadily increasing at a rate of 1.9% per year in the United States and 3-4% per year in European countries (3,7). Since the pandemic, however, several studies have reported an unprecedented surge in type 1 diabetes in children and teenagers.
In recent years following the COVID-19 pandemic, RNA has gained attention for its successes and potential use in vaccines and therapeutics. One avenue of interest in RNA research is a non-coding class of RNA first identified almost 50 years ago, circular RNA (circRNA).
In 1976, Sanger et al. first identified circRNA in plant viroids, and later additions to the field found them in mice, humans, nematodes, and other groups. Unlike linear RNA, circRNA are covalently closed loops that don’t have a 5′ cap or 3′ polyadenylated tail. Following its discovery, researchers thought circRNA was the product of a rare splicing event caused by an error in mRNA formation leading to low interest in researching the subject (1).
In the early 2010s, following the development of high throughput RNA sequencing technology, Salzman et al. determined that circRNAs were not a result of misplicing, but a stable, conserved, and widely sourced form of RNA with biological importance. Since noncoding RNA makes up the majority of the transcriptome it’s an incredibly important field of study. We now recognize circRNAs for their potential as disease biomarkers and importance in researching human disease (2).
Integrating artificial intelligence (AI) into the process of scientific research offers a wealth of efficiency-boosting tools that are transforming the ways scientists can approach their work. Many are already using AI to refine code, automate data processing, and edit papers, presentations, abstracts and more. Personally, I find generative language models like ChatGPT to be invaluable “editorial assistants” in my work as a science writer, helping me work through wonky sentence structures, be more concise and get over writer’s block, to name a few applications.
But a scientist’s work doesn’t only involve writing or analyzing data, making presentations or keeping up with the literature. An essential component of any research scientist’s skillset is their ability to develop entirely new ideas and novel research proposals. Coming up with research questions and plans is a central component of graduate education and research careers, both in academia and industry.
As AI continues to advance and find broader use, a critical question arises: Can AI play a pivotal role in the creative process of developing entirely new ideas, such as crafting novel research proposals?
When looking at small aspects of living things, especially cells, it can often be difficult to fully grasp the magnitude of regulation employed within them. We first learn the central dogma in high school biology. This is the core concept that DNA makes RNA and RNA makes protein. Despite this early education, it can be lost on many the biological methods that are employed to regulate this process. This regulation is very important when one considers the disastrous things that can occur when this process goes askew, such as cancer, or dysregulated cell death. Therefor it is very important to understand how these regulatory mechanisms work and employ tools to better understand them.
Amphibians are the most threatened vertebrate class worldwide. Because they lack the ability to regulate their own temperature and moisture levels, climate change is playing a significant role in this growing peril (1). Climate change impacts amphibian survival in several ways. In addition to habitat loss, growing drought conditions make maintaining body moisture levels challenging and warming temperatures restrict activity periods needed for reproduction as well as increasing the risk of heat stress.
Heat tolerance varies by species, and understanding what influences these differences could help predict species survival. The gut microbiota is known to affect a wide range of functions in host animals, and recently studies have begun to investigate its role in host thermal tolerance (2).
Chimeric Antigen Recepter (CAR)-T cell therapy is a personalized immunotherapy that harnesses the patient’s own immune system to combat cancer. It is done by engineering the patient’s T cells to specifically target and attack cancer cells in their body, and it has shown great success in treating various blood cancers such as leukemia.
Treating solid tumors with CAR-T cells, however, has proved much more challenging. This is mainly because solid tumors contain a heterogeneous population of cells, expressing a variety of antigens—many of which are also expressed in healthy cells. Therefore, T cells targeting solid tumors could potentially attack healthy tissue, resulting in serious side effects. In addition, solid tumors create a hostile microenvironment that is difficult for CAR-T cells to infiltrate.
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