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Ancient viruses are embedded everywhere in the human genome. Estimates range, but it’s thought that about eight percent of the human genome could be made up of these ancient retroviruses, which are also known as transposable elements. It’s thought that the action of many of of these sequences has stopped, though some research has shown they may still affect human biology. And now, scientists have shown that transposable elements also play crucial roles in the development of human embryos. The findings have been reported in Cell.

There are transposable elements in the human genome that are active in the earliest stages of human embryo development, when there is significant molecular flexibility and plasticity. But the regulation of that plasticity is unclear.

The expression of genes has to be carefully regulated in cells; active genes give cells their identity and ability to function. Epigenetic features are just one way that cells control gene expression, and they do so without altering the sequence of genes. These may involve chemical groups like methyl tags that adorn DNA, or structural characteristics that relate to proteins that organize DNA. But scientists have also been learning about how epigenetics affect RNA. New findings on a balancing act in epigenetics, which works on DNA and RNA, have been reported in Cell.

When genes are expressed, they are transcribed into messenger RNA (mRNA) molecules. The cell can then translate those mRNA molecules into proteins, which carry out a variety of functions. Scientists have identified an epigenetic mechanism that seems to balance gene expression. One facet of the mechanism can promote the transcription and organization of genes, while the other causes mRNA transcripts to lose stability, and can adjust how those transcripts are used. This work has shown that DNA and RNA epigenetics may be more closely linked than known.

A recent study from the University of California San Diego School of Medicine has provided fresh insight into the potential benefits of time-restricted feeding in managing these circadian disruptions.

This approach, which involves eating within a specific daily window, could offer a novel way to address Alzheimer’s symptoms and possibly alter the course of the disease itself. The findings challenge traditional perspectives on the disorder, shifting attention to the importance of daily eating habits.

The circadian rhythm functions as the body’s internal biological clock, regulating numerous physiological processes, including the sleep-wake cycle. Disruptions to this rhythm are particularly common among Alzheimer’s patients, with recent estimates suggesting that up to 80% experience these disturbances. These disruptions not only interfere with sleep but also contribute to increased cognitive impairment, particularly during nighttime hours.

Summary: Scientists have discovered that neural stem cells (NSCs) receive constant feedback from their daughter cells, influencing whether they remain dormant or activate to form new neurons and glia. This parent-child relationship helps regulate brain regeneration and repair.

The study also reveals that calcium signaling plays a key role in how NSCs decode multiple signals from their environment. If NSCs produce only a few daughter cells, they activate; if they produce many, they stay dormant.

These findings challenge previous assumptions that NSCs function independently and open new avenues for treating neurodevelopmental disorders. Future research will explore how these processes change in aging and disease.

Cellular organization is central to tissue function and homeostasis, influencing development, disease progression, and therapeutic outcomes. The emergence of spatial omics technologies, including spatial transcriptomics and proteomics, has enabled the integration of molecular and histological features within tissues. Analyzing these multimodal data presents unique challenges, including variable resolutions, imperfect tissue alignment, and limited or variable spatial coverage. To address these issues, we introduce CORAL, a probabilistic deep generative model that leverages graph attention mechanisms to learn expressive, integrated representations of multimodal spatial omics data. CORAL deconvolves low-resolution spatial data into high-resolution single-cell profiles and detects functional spatial domains. It also characterizes cell-cell interactions and elucidates disease-relevant spatial features. Validated on synthetic data and experimental datasets, including Stero-CITE-seq data from mouse thymus, and paired CODEX and Visium data from hepatocellular carcinoma, CORAL demonstrates robustness and versatility. In hepatocellular carcinoma, CORAL uncovered key immune cell subsets that drive the failure of response to immunotherapy, highlighting its potential to advance spatial single-cell analyses and accelerate translational research.

The authors have declared no competing interest.

A new technology developed at MIT enables scientists to label proteins across millions of individual cells in fully intact 3D tissues with unprecedented speed, uniformity, and versatility. Using the technology, the team was able to richly label large tissue samples in a single day. In their new study in Nature Biotechnology, they also demonstrate that the ability to label proteins with antibodies at the single-cell level across large tissue samples can reveal insights left hidden by other widely used labeling methods.

Profiling the proteins that cells are making is a staple of studies in biology, neuroscience, and related fields because the proteins a cell is expressing at a given moment can reflect the functions the cell is trying to perform or its response to its circumstances, such as disease or treatment. As much as microscopy and labeling technologies have advanced, enabling innumerable discoveries, scientists have still lacked a reliable and practical way of tracking protein expression at the level of millions of densely packed individual cells in whole, 3D intact tissues. Often confined to thin tissue sections under slides, scientists therefore haven’t had tools to thoroughly appreciate cellular protein expression in the whole, connected systems in which it occurs.

“Conventionally, investigating the molecules within cells requires dissociating tissue into single cells or slicing it into thin sections, as light and chemicals required for analysis cannot penetrate deep into tissues. Our lab developed technologies such as CLARITY and SHIELD, which enable investigation of whole organs by rendering them transparent, but we now needed a way to chemically label whole organs to gain useful scientific insights,” says study senior author Kwanghun Chung, associate professor in The Picower Institute for Learning and Memory, the departments of Chemical Engineering and Brain and Cognitive Sciences, and the Institute for Medical Engineering and Science at MIT. “If cells within a tissue are not uniformly processed, they cannot be quantitatively compared. In conventional protein labeling, it can take weeks for these molecules to diffuse into intact organs, making uniform chemical processing of organ-scale tissues virtually impossible and extremely slow.”

Y ou could be forgiven for thinking that the turn of the millennium was a golden age for the life sciences. After the halcyon days of the 1950s and ’60s when the structure of DNA, the true nature of genes and the genetic code itself were discovered, the Human Genome Project, launched in 1990 and culminating with a preliminary announcement of the entire genome sequence in 2000, looked like – and was presented as – a comparably dramatic leap forward in our understanding of the basis of life itself. As Bill Clinton put it when the draft sequence was unveiled: ‘Today we are learning the language in which God created life.’ Portentous stuff.

The genome sequence reveals the order in which the chemical building blocks (of which there are four distinct types) that make up our DNA are arranged along the molecule’s double-helical strands. Our genomes each have around 3 billion of these ‘letters’; reading them all is a tremendous challenge, but the Human Genome Project (HGP) transformed genome sequencing within the space of a couple of decades from a very slow and expensive procedure into something you can get done by mail order for the price of a meal for two.

Since that first sequence was unveiled in 2000, hundreds of thousands of human genomes have now been decoded, giving an indication of the person-to-person variation in sequence. This information has provided a vital resource for biomedicine, enabling us, for example, to identify which parts of the genome correlate with which diseases and traits. And all that investment in gene-sequencing technology was more than justified merely by its use for studying and tracking the SARS-CoV-2 virus during the COVID-19 pandemic.

Here we report on the collaboration of Open AI and Retro Biotech using GPT-4b to investigate ways to improve the efficacy of the Yamanaka factors in reprogramming cells.
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Health claims Disclosure: Information provided on this video is not a substitute for direct, individual medical treatment or advice. Please consult with your doctor first. Products or services mentioned in this video are not a recommendation.

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Please note that we have full authorization to the music that we used in our videos as they were created using the service WeVideo which provides the rights to the music. The rights are detailed in the terms of use that can be reviewed here https://www.wevideo.com/terms-of-use and any following inquiries should be addressed to [email protected].

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