Omic.ly Weekly 75

May 19, 2025

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This Week's Headlines

1) A gene for short sleep duration

2) Structure equals function might be the most important phrase in proteomics

3) Non-invasive prenatal testing is a big business. Here's how it got its start.

4) Weekly Reading List


Having trouble sleeping? A new mutation has been discovered that allows people to feel well rested after as little as 4hrs of sleep!

If you're anything like me, you cherish your sleep!

And also, if you're anything like me, you feel like you can never get enough!

Between the tossing and turning and constant worrying about how everything can go wrong, I'm lucky if I get 6 hours of sleep every night.

But did you know that there are a number of genetic mutations that have been identified that allow people to feel well rested after only getting 4 hours of sleep?!

That's half the recommended dose!

And about 2 hours less than I normally get.

Some people (and mice) have all the luck!

They also likely have mutations in sleep related genes like DEC2, ADRB1, NPSR1, and GRM1.

Mutations in these genes have been shown to be associated with natural short sleep (nss) which allow for short sleep duration without all of the negative cognitive or physiological side effects associated with chronic sleep deprivation.

People with mutations in these genes do not crave more sleep and may even feel worse when oversleeping!

Now, researchers have identified yet another mutation in a gene called SIK3 (Salt-Inducible Kinase 3) which allows those who carry an N783Y mutation all of the benefits of a full night of sleep after only 4-ish hours.

This can be seen in the figure above which displays A) an actogram (activity diagram) of a person who carries this mutation highlighting their sleep duration in green and B) a conservation map of the SIK3 gene across vertebrates (animals with spines).

In mouse models harboring the SIK3 N783Y mutation, the researchers showed that homozygous animals exhibited significantly reduced sleep both under baseline conditions (31 minutes less) and during recovery after sleep deprivation (54 minutes less).

However, the phenotype was milder than in humans, which could just be related to some species specific differences in how SIK3 operates.

Functional assays further revealed that this mutation reduces kinase activity (addition of phosphate groups to other proteins) and that approximately 20% of synaptic phosphoproteins exhibited altered phosphorylation due to the N783Y mutation.

This implicates SIK3 in maintaining synaptic homeostasis (stabilizes neural circuits in your brain), a critical function during sleep.

This study also strengthens the case for SIK3 as an evolutionarily conserved sleep-promoting gene and supports the therapeutic potential of SIK3 as a target for treating sleep disorders.

###

Chen H., et al. 2025. The SIK3-N783Y mutation is associated with the human natural short sleep trait. PNAS. DOI: 10.1073/pnas.2500356122


Proteomics: It’s all about the structures!

‘Structure Equals Function.’

It’s basically the secret password at the molecular biology club.

And if you’re ever looking to get knowing nods from your favorite molecularly aligned friends, this phrase kills.

That’s because most everything in molecular biology is centered on how molecules interact with one another.

This includes how two strands of DNA coil into a right-handed helix, how proteins bind to one another to create functional complexes, or how enzymes grab on to their co-factors and substrates to catalyze life-sustaining chemistry.

All of these things are essentially determined by their molecular structures!

These structures are pretty easy to determine for run of the mill chemical compounds, but proteins are macromolecules.

This just means they’re composed of thousands of atoms and can have highly complex structures!

But the complexity for proteins doesn’t end there, because they can also be modified after they are made.

These ‘post-translational modifications,’ or PTMs for short, can be as simple as the addition of a phosphate to a specific part of a protein all of the way to the addition of large chains of sugar molecules.

And you guessed it, the addition of these PTMs changes the structure of the protein which in turn changes its function!

Many PTMs are critical for proteins to operate correctly and they routinely serve as ‘on’ and ‘off’ switches.

They’re also important for determining which partners a protein can interact with and when!

So, a protein’s structure is REALLY freakin’ important for understanding what it does.

'But how do we determine the structure of a protein?'

I'm glad you asked!

X-ray Crystallography - The OG of structure determination involves creating pure extracts of the protein you want to look at and finding the perfect conditions (salt concentration, humidity, drying time) to create a pristine crystal. Those crystals are then bombarded with X-rays. And the structure of the underlying protein can be inferred based on how those X-rays bounced off of it! But one major drawback of crystallography is that crystals don’t have water! So they may not necessarily represent the ACTUAL structure we’d see inside of a wet environment.

Nuclear Magnetic Resonance Spectroscopy (NMR) - Best used on small proteins and peptides. Purified protein is exposed to radio waves and its structure can be determined by looking at resonance signals and calculating which atoms within a protein are near one another.

Cryogenic Electron Microscopy (CryoEM) - Purified proteins or large protein complexes are cryogenically frozen and then imaged with an electron microscope. The images of thousands of molecules are then combined to stitch together a 3D structure of the protein!

AlphaFold - Kidding, this is a structure prediction tool. It’s important to validate what this produces with one of the above methods.


The two gels below spawned a multi-billion dollar industry that didn't exist prior to their publication in 1997.

While it may seem obvious today, you might find it surprising that we didn't know that fetal DNA was present in a pregnant mother's bloodstream until the late 1990's.

Prior to this discovery, genetic testing on fetuses was only performed if a problem was suspected with a pregnancy or if there was a family history of genetic disorders.

This testing was performed by karyotyping fetal cells.

You've probably seen one of these 'chromosome spreads' in a biology textbook where each of the 23 pairs of chromosomes are lined up next to one another.

This allows a geneticist to check that the chromosomes are intact and see if there are any abnormalities such as those found in Down Syndrome where patients have 3 copies of chromosome 21 instead of 2.

But, back in 1997, the process for collecting fetal cells was very invasive and was done using one of two techniques:

Amniocentesis (Amnio) - a 3-5" long needle is inserted into the mother's abdomen to collect 20 milliliters of amniotic fluid for testing.

Chorionic Villus Sampling (CVS) - A 6" long needle is guided via ultrasound, either vaginally or through the abdomen, to obtain tissue from the placenta for testing.

Unfortunately, these procedures carry a risk and 1-2% of the time they can lead to the loss of the fetus.

Recognizing that there had to be a better way, Yuk-Ming Dennis Lo set about figuring out how to get at fetal DNA without having to perform Amnio or CVS.

He knew that fetal cells made it into the maternal bloodstream and that mother and child exchanged cellular material.

But he couldn't isolate enough fetal cells from the blood to do prenatal genetics with them.

Luckily, in 1996, Lo heard that a team in Switzerland had shown that tumors actually shed cell free DNA into the bloodstream and this tumor DNA could be detected using PCR and primers specific to the tumor DNA.

He reasoned that a baby, or more accurately, the placenta, was basically like a giant tumor and shared the bloodstream with the mother.

So, it made sense that it too should shed cell free DNA into the bloodstream.

The figure above is proof that Lo's hypothesis was correct and fetal DNA could be isolated and amplified from the blood of pregnant females.

In this figure, the arrow highlights a 198bp PCR product from the Y chromosome. Case numbers greater than 30 are pregnancies with female fetuses (don't have a Y), and case numbers less than 30 are male fetuses (have a Y).

Further technical advancements and the invention of high throughput sequencers have transformed this discovery into a popular pregnancy screening test.

Today, non-invasive prenatal testing is second only to oncology testing in sequencing market share.

###

Lo YMD, et al. 1997. Presence of fetal DNA in maternal plasma and serum. The Lancet. DOI:10.1016/s0140-6736(97)02174-0


Weekly Reading List

A bespoke CRISPR therapy suggests a blueprint for treating ‘N-of-1’ diseases
A gene editing drug custom-made for a critically ill baby showed that, for some ultra-rare diseases, it’s possible to design and test a new CRISPR medicine in just a few months.
DNA origami signal amplification in lateral flow immunoassays - Nature Communications
Lateral flow immunoassays (LFIAs) enable a rapid detection of analytes in a simple, paper-based test format, but their low sensitivity limits their applications. Here, the authors report a DNA origami-based signal amplification technology for LFIAs and apply it for the detection of cardiac troponin I in human serum.
Illumina Sues Element Biosciences for Patent Infringement
Illumina on Thursday filed a lawsuit against Element Biosciences, alleging infringement of several of its patents covering automated genetic sequencing, GenomeWeb has learned.
Why We Need More Transparency in Microbiome Testing
🧬 One Stool Sample – Three Labs – Three Different Realities Over the past years, the microbiome has become one of the most exciting frontiers in health science. Promises range from better digestion and immune regulation to mood support and chronic disease prevention.
Near-complete Middle Eastern genomes refine autozygosity and enhance disease-causing and population-specific variant discovery - Nature Genetics
Generation and analysis of high-quality, genome assemblies from Middle Eastern trios demonstrate the utility of ancestry-matched data and assembly-based variation analysis.
Learning the natural history of human disease with generative transformers
Decision-making in healthcare relies on the ability to understand patients’ past and current health state to predict, and ultimately change, their future course. Artificial intelligence (AI) methods promise to aid this task by learning patterns of disease progression from large corpora of health records to predict detailed outcomes for an individual. However, the potential of AI has not yet been fully investigated at scale. Here, we modify the GPT (generative pretrained transformer) architecture to model the temporal progression and competing nature of human diseases in a population scale cohort. We train this model, termed Delphi-2M, on data from 0.4 million participants of the UK Biobank and validate it using external data from 1.9 million Danish individuals with no change in parameters. Delphi-2M predicts the rates of more than 1,000 different ICD-10 coded diseases and death, conditional on each individual’s past disease history, age, sex and baseline lifestyle information, and with accuracy comparable to existing single-disease models. Delphi-2M’s generative nature also enables sampling future health trajectories at any point within an individual’s life course with outcomes across the entire disease spectrum. Sampled health trajectories provide meaningful estimates of future disease burden for up to 20 years and enable training AI models which have never seen actual data. Explainable AI methods provide insights into Delphi-2M’s predictions, revealing temporal clusters of co-morbidities within and across different disease chapters and their time-dependent consequences on the future health course. These analyses, however, also reveal that biases underlying the available training data, which in the case of the UK Biobank stem from distinct healthcare sources, are learned and highlighted. In summary, GPT-based models appear well suited for predictive and generative health-related tasks, are applicable to population scale health data sets and provide insights into the temporal dependencies of past events that shape future health, impacting our ability to obtain an instantaneous view of personalised health state. ### Competing Interest Statement A preliminary patent has been filed for modelling time-dependent health data with generative transformers. ### Funding Statement We acknowledge the following sources of funding: Novo Nordisk Foundation grant NNF17OC0027594 (K.G., A.W.J., E.B., M.G.), the Robert Bosch Foundation (M.G.) and from the EMBL European Bioinformatics Institute (EMBL-EBI) (E.B., T.F., A.W.J.). ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The UK Biobank has received approval from the National Information Governance Board for Health and Social Care and the National Health Service North West Centre for Research Ethics Committee 532 (Ref: 11/NW/0382). This research was conducted using the UK Biobank Resource under project 49978. All investigations were conducted in accordance with the tenets of the Declaration of Helsinki. The use of the Danish National Patient Registry for validation of the UK Biobank results was conducted under the Danish Data Protection Act. Furthermore, the analysis was conducted under the information security and data confidentiality policies of Statistics Denmark, which is the Danish National Statistical Institution. I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes UK Biobank data are available under restricted access through a procedure described at <http://www.ukbiobank.ac.uk/using-the-resource/>. Model weights will be made available through UK Biobank’s controlled access system. Danish registry data are available for use in secure, dedicated environments via application to the Danish Patient Safety Authority and the Danish Health Data Authority via [https://sundhedsdatastyrelsen.dk/da/english/health\_data\_and\_registers/research\_services/apply][1]. [1]: https://sundhedsdatastyrelsen.dk/da/english/health_data_and_registers/research_services/apply
InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments - Nature Machine Intelligence
InstaNovo, a transformer-based model, and InstaNovo+, a multinomial diffusion model, enhance de novo peptide sequencing, enabling discovery of novel peptides, improved therapeutics sequencing coverage and detection of unreported organisms in proteomics studies
FDA Approves At-Home Self-Collection Device for Cervical Cancer Screening
Teal Health announced the FDA’s approval of the Teal Wand, an at-home vaginal sample self-collection device for cervical cancer screening in the United States.
Distinct methylomic signatures of high-altitude acclimatization and adaptation in the Tibetan Plateau - Cell Discovery
Cell Discovery - Distinct methylomic signatures of high-altitude acclimatization and adaptation in the Tibetan Plateau
The Not-So-Glamorous Parts of Drug Development and Regulatory Science
Having been involved in all sides of medical product development (academia, clinical practice, medical products industry, and regulatory), I understand that the unveiling of results from a pivotal trial represents an exciting moment in medical product development, and that arguments over how to interpret those results can add to the drama.
The SIK3-N783Y mutation is associated with the human natural short sleep trait
A mutation in salt-induced kinase 3 (hSIK3-N783Y) is identified in a human subject exhibiting the natural short sleep duration trait. A mouse model carrying this homologous mutation demonstrates reduced sleep duration, confirming the mutation’s causality to the sleep trait. This mutation leads to decreased SIK3 activity and altered global protein phosphorylation profiles, especially for synaptic proteins. Further data analyses reveal additional kinases that could participate in the modulating network for sleep duration. These findings advance our understanding of the genetic underpinnings of sleep, highlight the broader implications of kinase activity in sleep regulation across species, and provide further support for potential therapeutic strategies to enhance sleep efficiency.
How We Pioneered Next Generation DNA Sequencing At Solexa – IV
The Tree
Cellanome: Powering the Era of Cell Biology
Every scientific revolution in biology starts with a breakthrough that provides deeper insights into life’s fundamental building blocks. The last decade brought the era of genomics, where decoding DNA unlocked an explosion of discovery, including key drivers of cancer, rare disease, and immune function. Armed with that understanding, scientists developed targeted medicines, cell and gene therapies, and ultimately the mRNA technology that defeated the COVID-19 pandemic. Yet, as important as DNA and RNA are, they are still incomplete because they are not living things. Instead, they matter because they shape the smallest atomic living unit – the cell.
Opinion: Why public science funding matters more than ever
Not long ago, I ran into a longtime Fleet Science Center member outside our Giant Dome theater. He had just seen a film about researchers behind the publicly funded James Webb Space Telescope. With…
Your A.I. Radiologist Will Not Be With You Soon
Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe.
Circulating Tumor DNA–Guided Risk Stratification in Colorectal Cancer: Evolving Evidence and Future Utility
Circulating tumor DNA (ctDNA) has emerged as a promising biomarker in colorectal cancer, offering dynamic insight into disease burden and recurrence risk. However, questions remain about its clinical…
Admixture’s impact on Brazilian population evolution and health
Many medically relevant traits, such as drug metabolism, are characterized by some genetic variants having relatively large effects. However, it can be difficult to identify such variants when the genetic variation of a population is not well understood. Nunes et al. generated whole-genome sequence data for 2723 healthy individuals across Brazil, a population characterized by recent and unequal admixture among Indigenous Americans, Europeans, and African enslaved people.
Martin Makary outlines AI plans and the broader vision for his term as FDA commissioner
WASHINGTON, D.C.—FDA Commissioner Martin Makary, M.D., offered more details into the agency’s
‘About as close to aliens as we’ll ever get.’ Can AI crack animal language?
Dolittle Prize recognizes breakthroughs in translating “speech” of dolphins, cuttlefish, and other creatures
A spatiotemporal cancer cell trajectory underlies glioblastoma heterogeneity
Cancer cells display highly heterogeneous and plastic states in glioblastoma, an incurable brain tumour. However, how these malignant states arise and whether they follow defined cellular trajectories across tumours is poorly understood. Here, we generated a deep single cell and spatial multi-omic atlas of human glioblastoma that pairs transcriptomic, epigenomic and genomic profiling of 12 tumours across multiple regions. We identify that glioblastoma heterogeneity is driven by spatially-patterned transitions of cancer cells from developmental-like states towards those defined by a glial injury response and hypoxia. This cellular trajectory regionalises tumours into distinct tissue niches and manifests in a molecularly conserved manner across tumours as well as genetically distinct tumour subclones. Moreover, using a new deep learning framework to map cancer cell states jointly with clones in situ , we show that tumour subclones are finely spatially intermixed through glioblastoma tissue niches. Finally, we show that this cancer cell trajectory is intimately linked to myeloid heterogeneity and unfolds across regionalised myeloid signalling environments. Our findings define a stereotyped trajectory of cancer cells in glioblastoma and unify glioblastoma tumour heterogeneity into a tractable cellular and tissue framework. ### Competing Interest Statement J.S.R. reports funding from GSK, Pfizer and Sanofi & fees/honoraria from Travere Therapeutics, Stadapharm, Astex, Owkin, Pfizer, Grunenthal, Moderna and Tempus. O.S. is a paid advisor of Insitro. The other authors declare no competing interests. Wellcome Leap as part of the Delta Tissue
Rare genetic syndrome discovered in Emirati boy helps identify symptoms across Middle East | The National
Condition causes slower growth and abnormalities in the head and face
FDA Clears First Blood Test Used in Diagnosing Alzheimer’s Disease
The U.S. Food and Drug Administration cleared for marketing the first in vitro diagnostic device that tests blood, to aid in diagnosing Alzheimer’s disease.
How to Irritate Regulators: A Primer
Janet Wittes (Florida Atlantic University, janet@wittesllc.com)
Does the CDC have an acting director?
Health secretary RFK Jr. earlier this week said it’s Matthew Buzzelli, listed on the CDC’s website as chief of staff. But the situation is a bit murky.

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