Omic.ly Weekly 80

June 23, 2025

Hey There!

Thanks for spending part of your week with Omic.ly!


This Week's Headlines

1) Loss of Y could be helping to make tumors in men more aggressive

2) Amino acids? We don't need more stinking amino acids...or do we?

3) Linus Pauling got the 3D structure of DNA wrong

4) Weekly Reading List


Who needs a Y chromosome anyway? Losing it could be making tumors in men more aggressive

Loss of the Y chromosome (LOY) is one of the most common somatic mutations to occur in men as they age.

Its loss has been shown to be associated with increased risk for cancer and poorer prognosis in those diagnosed with cancer.

However, it wasn't known if there were actual biological consequences for LOY or if this was just a passenger mutation that had no functional role in cancer risk or tumor progression.

LOY is often seen in Peripheral blood mononuclear cells (PBMCs) which are immune cells circulating in the blood.

PBMCs include key players like T cells, B cells, natural killer cells, monocytes, and dendritic cells which raises the possibility that LOY in these cells could compromise immune surveillance.

Immune surveillance is obviously important for detecting and fighting infections but its also super important in the development and progression of cancer!

It's known that the immune system plays a key role in identifying and destroying early cancer cells, so it begs the question whether LOY as men age contributes to deficiencies in the immune system that allow cancer cells to thrive.

That was the question posed recently by researchers who looked at LOY across multiple cell types and showed a distinct correlation between LOY and cancer risk which can be seen in the figure above:

a) heat-map of genes expressed across cancer types grouped by cells with and without LOY

b) LOY is common across cancer

c) the researchers developed a transcriptional score to predict LOY (YchrS) with an AUC of 98%

d, e, g) LOY increases with age, is similar across ethnicities, and is negatively correlated with cancer-testis antigen (CTA)

h) LOY is correlated with worse overall survival (OS) and worse disease-specific survival (DSS - death from cancer being studied)

The researchers went on to show that LOY in PBMCs correlates strongly with LOY in both tumor-infiltrating immune cells and malignant epithelial cells.

This suggests a possible mechanism linking LOY across diverse cell types!

They also showed that LOY in CD4+ and CD8+ T cells leads to immune dysfunction with CD4+ T cells having a marked increase in regulatory T cell (Treg) signatures, promoting an immunosuppressive environment with reduced activation, signaling, and cytotoxic capacity, effectively impairing the immune system’s ability to fight tumors.

Clinically, patients whose tumors contained both LOY epithelial cells and LOY T cells had significantly worse outcomes than those with LOY limited to one cell type.

Further, the presence of LOY in T cells and epithelial tumor cells were found to be independent predictors of poor prognosis, highlighting the potential additive effect of LOY in accelerating cancer progression.

These findings are important because they provide a new view into cancer biology where evaluation of LOY could be used in the future for diagnostics, prognostics, and therapeutic engineering.

###

Xingyu C, et al. 2025. Concurrent loss of the Y chromosome in cancer and T cells impacts outcome. Nature. DOI: 10.1038/s41586-025-09071-2


Genetic code expansion might be the coolest thing in Omics that you've never heard of.

DNA codes for messenger RNA (mRNA) which is then translated into protein.

And it's proteins that perform the majority of the functions in our cells!

They can serve as structural components, as molecular motors delivering cargo to various regions of the cell, and they can function as enzymes performing chemistry that would otherwise be impossible.

Proteins are created by ribosomes which read mRNA and stitch together amino acids to form the final protein sequence.

They do this by binding to mRNA and transfer RNAs (tRNAs) that are loaded with specific amino acids.

The sequence of the amino acids in a protein is determined by the mRNA sequence (codon) binding to a complementary tRNA (anticodon).

Proteins are made using 20 common amino acids but there are over 500 of them found in nature!

Many of those extra amino acids are just modified common amino acids, but this presents an interesting challenge:

What if we could expand the number of amino acids that can be coded for by DNA??

Doing this would allow us to engineer totally new proteins!

And this is the focus of an exciting area of synthetic biology referred to as ‘genetic code expansion.’

We can get to these designer proteins through a number of different biological hacks.

One of them is to change what the natural base pairs (NBPs) code for!

There are 4 DNA bases (A, T, C, G), these are read 3 at a time to code for proteins and this ‘triplet code’ is referred to as a codon. There are 64 potential codons and 20 common amino acids. Each amino acid is coded for by approximately 3 different codons.

But, we have the tools to change that!

Stop Codons - Are triplet codes that don’t code for any amino acids but serve to tell a ribosome to stop; however, we can make tRNAs that actually bind to the stop codons and cause a ribosome to insert whatever amino acid is attached to that stop-codon-binding-tRNA!

4 base codons - We can create tRNAs that use 4 base codons instead of 3 base codons (but this can get tricky in a living organism!)

Codon/tRNA Reprogramming - We can engineer a cell to incorporate a different amino acid on a specific tRNA.

But, hacking what the natural base pairs code can have unintended consequences in the proteins we need to keep cells alive!

Thankfully, synthetic biologists have also been working to add unnatural base pairs (UBPs) to these systems and have been successful in creating organisms that can use 6! base pairs (A, T, C, G, X, and Y).

This means we can create our funky new proteins without affecting how other critical proteins are made, because we can make tRNAs that complement new triplet codes and recognize our unnatural X and Y bases.

Ultimately, this allows us to create new proteins that have desirable functions.

Genetic code expansion has important applications in academic research, protein and enzyme engineering, and therapeutic development.


The kaleidoscopic image below is the triple helix Linus Pauling proposed as the structure of DNA in February 1953. Here's why he got it so wrong:

Linus Pauling is remembered as one of the greatest American scientists of all time. He was awarded two undivided Nobel Prizes, and is basically the father of modern structural biology.

He's most famous for solving the 3D structure of the α-helix and the β-sheet, the two most common protein structures.

To do this, Pauling employed a technique called x-ray crystallography which basically bombards a crystal with x-rays. How those x-rays bounce off of a crystal tells you something about the shape of the item that was crystallized and the resulting 'diffraction patterns' can be used to determine key structural features of the crystallized molecules.

In his work, Pauling took this a step further and was one of the first scientists to use that information to model molecular structures with balls and sticks.

Fresh off of his foundational work with proteins, Pauling turned his attention to DNA. While Pauling famously thought that DNA was NOT the genetic material, there's a rumor that he heard that teams in the UK were close to solving DNA's structure and the ever competitive Pauling wanted to see if he could beat them.

However, Pauling didn't generate his own data and relied heavily on data and calculations derived by others in the field, namely those created by William Astbury and Florence Bell in 1938.

Unfortunately, Pauling was unaware of the most recent advancements in the diffraction of DNA by Franklin and Gosling.

But he did have access to electron micrographs of DNA and the 15 year old Astbury/Bell data which indicated the structure was helical.

Based on incorrect density calculations, he also proposed that the structure had 3 nucleotides at each position.

It was already known that DNA was composed of a sugar phosphate backbone, so all of these things taken together led Pauling to a triple helix.

In the figure above, Pauling and Robert Corey placed the phosphate backbones of 3 DNA strands at the center of the structure with the nucleotides facing out, like the spokes of a bicycle wheel.

In hindsight, we know this is totally wrong and there are 3 key errors that make this structure implausible:

1. At pH 7, the phosphate backbone is negatively charged so 3 of them packed together would repel one another

2. The model doesn't leave space for sodium and Astbury's diffractions were all sodium salts

3. Chargaff's nucleotide pairing rules were totally ignored

Fortunately, taking inspiration from Pauling and his use of modeling, Watson and Crick, armed with pristine x-ray diffraction data from Franklin and Gosling, published the correct double helical structure for DNA two months later in the April 1953 issue of Nature.

###

Pauling L, Corey RB. 1953. A Proposed Structure For The Nucleic Acids. PNAS. DOI: 10.1073/pnas.39.2.84


Weekly Reading List

Gene therapy faces fresh uncertainty as two more top FDA officials depart
The reported dismissal of high-ranking CBER officials Nicole Verdun and Rachael Anatol resurfaced lingering concerns about how gene therapies will be regulated under new FDA leadership.
FDA blocks new clinical trials that ship cells from US to China
The FDA has stopped new | The FDA has stopped new clinical trials that export American citizens’ living cells from the U.S. to “China and other hostile countries for genetic engineering and subsequent infusion” back into American patients.
Accurate and scalable exchange-correlation with deep learning
Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of the Schrödinger equation, practical applications rely on approximations to the unknown exchange-correlation (XC) functional. Most existing XC functionals are constructed using a limited set of increasingly complex, hand-crafted features that improve accuracy at the expense of computational efficiency. Yet, no current approximation achieves the accuracy and generality for predictive modeling of laboratory experiments at chemical accuracy -- typically defined as errors below 1 kcal/mol. In this work, we present Skala, a modern deep learning-based XC functional that bypasses expensive hand-designed features by learning representations directly from data. Skala achieves chemical accuracy for atomization energies of small molecules while retaining the computational efficiency typical of semi-local DFT. This performance is enabled by training on an unprecedented volume of high-accuracy reference data generated using computationally intensive wavefunction-based methods. Notably, Skala systematically improves with additional training data covering diverse chemistry. By incorporating a modest amount of additional high-accuracy data tailored to chemistry beyond atomization energies, Skala achieves accuracy competitive with the best-performing hybrid functionals across general main group chemistry, at the cost of semi-local DFT. As the training dataset continues to expand, Skala is poised to further enhance the predictive power of first-principles simulations.
Chairs of 36 US chemistry departments call to restore funding
Open letter in <i>Science</i> says federal policy decisions ‘threaten the strength of the US research enterprise’
Bogong moths use a stellar compass for long-distance navigation at night - Nature
Every spring, Bogong moths use the starry night sky as a compass to navigate up to 1,000 km towards their alpine migratory goal.
Second DMD Patient Dies After Treatment with Sarepta Gene Therapy
Sarepta halts Elevidys shipments for non-ambulatory DMD patients after a second patient death in three months post gene therapy treatment.
Congress shows first signs of resisting Trump’s plans to slash science budgets
House panel rejects cuts to agricultural research, and Senators express doubts about cuts to NIH and forest research
Tiny human hearts grown in pig embryos for the first time
The hearts started to beat in the pig–human hybrids, which survived for 21 days.
Judge deems Trump’s cuts to National Institutes of Health illegal
The federal judge said the NIH violated federal law by arbitrarily canceling more than $1 billion in research grants because of their perceived connection to DEI initiatives.
Imaging 3D cell cultures with optical microscopy - Nature Methods
This Review discusses current 2D and 3D microscopy methods for imaging three-dimensional cell cultures and emerging strategies to address key challenges.
STAMP: Single-cell transcriptomics analysis and multimodal profiling through imaging
Single-cell RNA sequencing has revolutionized our understanding of cellular diversity but remains constrained by scalability, high costs, and the destruction of cells during analysis. To overcome these challenges, we developed STAMP (single-cell transcriptomics analysis and multimodal profiling), a highly scalable approach for the profiling of single cells. By leveraging transcriptomics and proteomics imaging platforms, STAMP eliminates sequencing costs, enabling cost-efficient single-cell genomics of millions of cells. Immobilizing (stamping) cells in suspension onto imaging slides, STAMP supports multimodal (RNA, protein, and H&E) profiling, while retaining cellular structure and morphology.
Early Microbial Life: Our Past, Present, and Future
The Academy report, funded by a grant from the Gordon and Betty Moore Foundation, examines the origins and trajectory of early microbial life to inform and inspire future research.
Evaluation of automatic cell free DNA extraction metrics using different blood collection tubes - Scientific Reports
Scientific Reports - Evaluation of automatic cell free DNA extraction metrics using different blood collection tubes
Xaira Therapeutics Releases Largest Perturb-Seq Dataset to Power the Virtual Cell
The AI unicorn’s Perturb-seq atlas is publicly available and detects dose-dependent genetic effects to enhance predictive power for drug discovery.
‘Super-healing’ animals inspire human treatments
Studies of the regenerative powers of worms, zebrafish and lizards suggest ways to improve recovery in people.
r/biotech Salary and Company Survey - 2025
by u/wvic in biotech
Happy birthday Jaws! How the movie changed shark science
Half a century after its cinematic release, Jaws is still shaping how we view — and protect — the ocean’s top predators.
Roche Gives SBX Updates - and a Name!
Last week I double-dipped on conferences, going from London Calling to European Society for Human Genetics (ESHG) in Milan. I have a raft o…
All babies in England to get DNA test to assess risk of diseases within 10 years
Newborns will have whole genome sequencing to enable personalised healthcare that predicts and prevents illness
Complete computational design of high-efficiency Kemp elimination enzymes - Nature
We present a computational approach to the design of high-efficiency enzymes with catalytic parameters comparable to natural enzymes, enabling programming of stable, high-efficiency, new-to-nature Kemp elimination enzymes through minimal experimental effort.
RFK Jr.’s stance on Covid vaccines for pregnant women is profoundly unethical
It is squarely unethical to treat healthy pregnant women differently than other groups that are similarly at elevated risk of serious Covid illness, writes one bioethicist.
The impact of PCR duplication on RNAseq data generated using NovaSeq 6000, NovaSeq X, AVITI, and G4 sequencers - Genome Biology
Background Transcriptome sequencing (RNA-seq) is a powerful technology for gene expression profiling. Selection of optimal parameters for cDNA library generation is crucial for acquisition of high-quality data. In this study, we investigate the impact of the amount of RNA and the number of PCR cycles used for sample amplification on the rate of PCR duplication and, in consequence, on the RNA-seq data quality. Results For broader applicability, we sequenced the data on four short-read sequencing platforms: Illumina NovaSeq 6000, Illumina NovaSeq X, Element Biosciences AVITI, and Singular Genomics G4. The native Illumina libraries were converted for sequencing on AVITI and G4 to assess the effect of library conversion, containing additional PCR cycles. We find that the rate of PCR duplicates depends on the combined effect of RNA input material and the number of PCR cycles used for amplification. For input amounts lower than 125 ng, 34–96% of reads were discarded via deduplication with the percentage increasing with lower input amount and decreasing with increasing PCR cycles. The reduced read diversity for low input amounts leads to fewer genes detected and increased noise in expression counts. Conclusions Data generated with each of the four sequencing platforms presents similar associations between starting material amount and the number of PCR cycles on PCR duplicates, a similar number of detected genes, and comparable gene expression profiles.
SAVANA: reliable analysis of somatic structural variants and copy number aberrations using long-read sequencing - Nature Methods
SAVANA is a tool to detect somatic structural variants and copy number aberrations using long-read sequencing data, offering high sensitivity, specificity and compatibility with or without germline controls.
Epigenetic Clocks: New Types, New Promises, New Skepticism
Will birthdays go the way of the Betamax and Blackberry? Our culture is always eager to move away from old things toward new things and these days if you want to know how old you are, the number of candles on your cake is just one clue — and maybe not even the best clue. Epigenetic clocks measure what’s happening inside you on a cellular level and they might say you’re aging faster (or slower) than you thought based on changes to your DNA.
Philanthropies rush to save measles surveillance network pushed to brink of collapse by U.S. cuts
The Trump administration’s gutting of global aid is threatening to collapse a network of laboratories responsible for global measles and rubella surveillance
Stem cell therapy gains momentum in hearing loss care
As stem cell research gains momentum, researchers are looking at ways to use the therapy to treat hearing loss.

Were you forwarded this newsletter?

LOVE IT.

If you liked what you read, consider signing up for your own subscription here:

Subscribe to Omic.ly