Omic.ly Weekly 82

July 7, 2025

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This Week's Headlines

1) Nerve cells transfer their mitochondria to cancer cells

2) The microbiome has more to do with traditional ecology than you might think

3) The most beautiful experiment in biology

4) Weekly Reading List


Just when you thought cancer couldn't get any crazier...neurons can directly transfer their power producing mitochondria to tumor cells

Cancer cells, especially metastatic ones, have exceptionally high energy demands.

To survive in changing and often hostile environments (like those with low oxygen or scarce nutrients) these cells must adapt their metabolism accordingly.

While many tumors rely heavily on glycolysis for energy (inefficient conversion of glucose into 2 ATP), metastatic cells often require the higher energy yield of oxidative phosphorylation (OXPHOS - 32 ATP!) to successfully invade, travel, and colonize distant tissues.

Historically, research on cancer metabolism has focused on how cancer cells internally reprogram their metabolism to survive in these hostile environments.

But it’s increasingly clear that tumors interact closely with their microenvironment to support their metabolic flexibility.

These external interactions with other cells and their environment play a vital role in enabling tumors to adapt and thrive.

For instance, prostate cancer tumor cells have been shown to secrete axon guidance molecules like semaphorin 4F to actively recruit nerves to them!

This process, called neurogenesis, leads to increased innervation and innervated cancers tend to grow faster, become more aggressive, and correlate with worse clinical outcomes.

However, when these cancers are chemically or surgically denervated, tumor growth and metastatic potential decline sharply.

These observations have led researchers to hypothesize that nerves provide more than just signals - they may actually deliver metabolic support directly to cancer cells!

The researchers behind this week's paper built on this idea and developed a genetic tool called MitoTRACER to permanently label cancer cells that receive mitochondria from neurons.

This work can be seen in the figure above a) is a diagram of how the system works - mitochondria in donor neurons are labeled with Cre which is released by TEVp if those mitochondria are transferred into cancer cells that have a dsRed/GFP/TEVp expressing construct. If cancer cells don't get any neuronal mitochondria, they're red, if they do, Cre does its magic and cuts out the dsRed construct allowing the expression of GFP and turning the cells green! b) displays the constructs used in the donor neurons and the cancer cells c) shows that the system works using a western blot d) it works using confocal microscopy e) and with FACS f,g) shows that transfer is both concentration and time dependent and h,i) show that the MitoTRACER components are stuck to the mitochondria and not just floating around the cytoplasm.

Using this system in breast cancer models, it was shown that mitochondria are directly transferred from neurons to cancer cells.

And also that cancer cells that acquired these mitochondria gained enhanced OXPHOS capacity and resistance to metastatic stressors like oxidative damage and mechanical shear.

Further analysis of human tumors confirmed that cancer cells near nerves had greater mitochondrial content, and that denervated tumors had significantly lower mitochondrial load.

These findings solidify the idea that neuronal mitochondria serve as a critical metabolic resource for cancer cells during metastasis.

And if this is true, it means we can use this to our advantage therapeutically!

Because stopping mitochondrial transfer from neurons to tumor cells, inhibiting tumor-induced neurogenesis, or using denervation techniques may significantly impair the ability of tumors to spread and resist therapy.

###

Hoover G, et al. 2025. Nerve-to-cancer transfer of mitochondria during cancer metastasis. Nature. DOI: 10.1038/s41586-025-09176-8


Studying the microbiome is really just a lesson in ecology!

The word microbiome was first used to describe all of the microbes that inhabited a specific environment.

Many of the words we use when talking about the microbiome come from ecology which is the study of how organisms (usually plants and animals) interact with each other and their environments.

So, the microbiome is actually something that’s studied as a part of the field of microbial ecology which covers basically all of the different microbiomes.

We might like to think that “the microbiome” is a human centric thing, but that’s a surefire way to make a microbial ecologist angry!

Because plants, animals, the soil, and even your toilet seat have a microbiome!

In traditional ecology, a biome is a specific geographic area that is defined by the climate and the plants and animals that inhabit it.

But instead of talking about polar bears and walruses living in the arctic tundra, for the gut microbiome, we talk about the Prevotella, Bacteroides, and Clostridium that colonize your colon!

Today the microbiome is defined as the community of microorganisms that live on or in a specific environment and how they interact with one another.

These include bacteria, fungi and viruses but also the activities and interactions of their epigenomes, genomes, transcriptomes, proteomes and metabolomes.

Much like any other complex biological system, the only way to truly understand the microbiome is by looking at all of the major -omes!

This also helps us to understand what roles all of these organisms play within their community and how they survive in their niche.

Because just like in ecology, relationships exist between organisms and these can include:

Predation - Pretty straight forward, a predator eats prey.

Competition - A battle between two or more organisms over limited resources.

Commensalism - One organism benefits from a relationship and the other is unchanged.

Mutualism - Both organisms benefit from a relationship.

Parasitism - One organism benefits while the other is harmed.

So, why am I going into excruciating detail about ecology as it relates to the microbiome?

Because it's important to understand that if we want to learn anything about how we can alter the microbiome to improve human health we also need to realize that it's an incredibly complex biological system all in itself!

The microbiome isn't just about identifying the organisms in a community and saying “these are healthy and these other ones aren't.”

That's because the role of an organism changes in complex ways based on what other organisms are present and the environment in which it resides.

So, simple approaches and explanations of the microbiome won't do and there's still a lot of science that needs to be done before we can start changing the human microbiome to our benefit.


Watson and Crick solved the structure of DNA and everyone lived happily ever after, right? Wrong. That was just the opening argument.

Because once the structure was proposed, everyone needed something new to fight about.

And one of those new topics was how a double stranded DNA helix was copied or 'replicated' to then be passed on to the next generation.

There were three theories for how this might work:

Conservative - A completely new copy of DNA is made that contains no pieces from the parental molecules.

Dispersive - Pieces of the parental molecule are copied and interspersed with fragments of the daughter molecules so the replicated copy is a mishmash of old and new.

Semi-conservative - One strand of a parent molecule serves as a template for creating the daughter strand so one old strand and one new strand end up in the new helix.

Watson and Crick thought the semi-conservative model was the simplest and made the most sense.

But Max Delbrück thought that was impossible because it would require the helix to totally unwind.

He believed that random copying of parent fragments was more likely so he was the champion of the dispersive model.

While the heavyweights were arguing about their theories, Matthew Meselson and Franklin Stahl, two recently minted PhDs, decided to do some actual work.

So, in 1954, they designed a series of experiments to use density gradient ultracentrifugation to settle this latest quarrel.

Now, the method they used might sound complicated but really all they did was extract DNA and spin it really really hard for a very long time - like, 45,000 rpm hard and for 20 hours.

But centrifuging the DNA was only half of the solution, they needed to figure out a way to make ‘old’ DNA strands heavy and ‘new’ ones light.

After a bit of trial and error, they settled on growing bacteria in the presence of a heavy isotope of Nitrogen, N15 and then switching the growth media to regular N14 to see what happened.

If DNA replication was semi-conservative, and not dispersive (random), they hypothesized they would see very sharp bands after centrifugation as the lighter new strands mixed with the old heavy ones.

If there was no banding, and more of a smear, they’d know replication was dispersive.

The results of this experiment are displayed in the figure above and are exactly what would be expected if DNA replicated semi-conservatively.

In Gen 0, everything is heavy, in Gen 1, the helix has one heavy and one light strand, in Gen 2, 50% of the helices are light and 50% are a mix, and by Gen 4, the majority of the DNA helices are composed of light strands.

This simple yet elegant experiment was all it took to convince Max Delbrück that he was wrong and it proved that DNA replication was semi-conservative.

###

Meselson M, Stahl FW. 1958. The replication of DNA in Escherichia coli. PNAS. DOI: 10.1073/pnas.44.7.671


Weekly Reading List

’We couldn’t live without it’: the UCSC Genome Browser turns 25
After a quarter of a century, the website remains an essential tool for navigating the genome and understanding its structure, function and clinical impact.
The Percentage of Tasks AI Agents Are Currently Failing At May Spell Trouble for the Industry
The best AI Agents are currently failing about 70 percent of the tasks assigned to them, as investments are expected to drop off a cliff.
A 6000-year-long genomic transect from the Bogotá Altiplano reveals multiple genetic shifts in the demographic history of Colombia
Genetic studies on Native American populations have transformed our understanding of the demographic history of the Americas. However, a region that has not been investigated through ancient genomics so far is Colombia, the entry point into South America. Here, we report genome-wide data of 21 individuals from the Bogotá Altiplano in Colombia between 6000 and 500 years ago. We reveal that preceramic hunter-gatherers represent a previously unknown basal lineage that derives from the initial South American radiation.
Bluebird Go-Private Deal Signals the ‘PE-ization of Pharma’
Why did two private equity firms with more than $460 billion under management want a little old gene therapy biotech called bluebird bio? We wanted to know.
A foundation model to predict and capture human cognition - Nature
A computational model called Centaur, developed by fine-tuning a language model on a huge dataset called Psych-101, can predict and simulate human nature in experiments expressible in natural language, even in previously unseen situations.
RFK Jr. says medical journals are ‘corrupt.’ As former NEJM editors, we know he’s wrong
RFK Jr.’s plan to circumvent established medical journals smacks more of retaliation than reform, write three former NEJM editors.
Jacifusen for FUS-ALS: molecular effects and clinical outcomes in a case series
Amyotrophic lateral sclerosis (ALS) remains one of medicine's most formidable challenges, with its genetic forms offering unique opportunities for targeted intervention. Among these, mutations in the FUS gene cause a particularly severe form of ALS, often affecting young patients, with rapid progression and poor outcomes.1 The development of gene-silencing therapies has gained momentum, with notable progress in the treatment of SOD1-ALS, for which tofersen (an antisense oligonucleotide targeting SOD1) showed promising results in the VALOR trial,2 particularly when administered early in the disease course.
How many PhDs does the world need? Doctoral graduates vastly outnumber jobs in academia
PhD programmes need to better prepare students for careers outside universities, researchers warn.
J. Craig Venter Describes a Human Genomics Revolution Still In Progress
Despite profound impact on bio-medical research, progress in understanding has been slow.
Nonuniversality of inflammaging across human populations - Nature Aging
Analyzing readouts of inflammaging across four cohorts, Franck and colleagues identify strong variation and observe that inflammaging, in its known form, primarily emerges in industrialized—but not nonindustrialized—populations.
Life Science Firms Receive €25M-Plus in Funding From European Innovation Council
Three life science firms have received awards of grant and equity funding from the European Innovation Council (EIC) Accelerator. Swedish proteomics firm Pixelgen and Swedish sequencing company Single Technologies each received €12.5 million ($14.7 million) in grant and equity funding, while UK-based molecular diagnostics firm Mitra Bio received €2.5 million. The awards were announced by the EIC on Monday
Towards an AI co-scientist
Scientific discovery relies on scientists generating novel hypotheses that undergo rigorous experimental validation. To augment this process, we introduce an AI co-scientist, a multi-agent system built on Gemini 2.0. The AI co-scientist is intended to help uncover new, original knowledge and to formulate demonstrably novel research hypotheses and proposals, building upon prior evidence and aligned to scientist-provided research objectives and guidance. The system’s design incorporates a generate, debate, and evolve approach to hypothesis generation, inspired by the scientific method and accelerated by scaling test-time compute. Key contributions include: (1) a multi-agent architecture with an asynchronous task execution framework for flexible compute scaling; (2) a tournament evolution process for self-improving hypotheses generation. Automated evaluations show continued benefits of test-time compute, improving hypothesis quality. While general purpose, we focus development and validation in three biomedical areas: drug repurposing, novel target discovery, and explaining mechanisms of bacterial evolution and anti-microbial resistance. For drug repurposing, the system proposes candidates with promising validation findings, including candidates for acute myeloid leukemia that show tumor inhibition in vitro at clinically applicable concentrations. For novel target discovery, the AI co-scientist proposed new epigenetic targets for liver fibrosis, validated by anti-fibrotic activity and liver cell regeneration in human hepatic organoids. Finally, the AI co-scientist recapitulated unpublished experimental results via a parallel in silico discovery of a novel gene transfer mechanism in bacterial evolution. These results, detailed in separate, co-timed reports, demonstrate the potential to augment biomedical and scientific discovery and usher an era of AI empowered scientists.
Whole-genome ancestry of an Old Kingdom Egyptian - Nature
Whole-genome sequencing of an ancient male Egyptian revealed a mixture of North African Neolithic and eastern Fertile Crescent ancestry, suggesting human migration between Egypt and Mesopotamia by the Old Kingdom period.
Psychedelics sans side effects: neuroplastogens gain ground
Discover the latest developments in the neuroplastogens field, including Elkedonia’s funding to address neuropsychiatric disorders.
Unsung observatory worker was UK’s first professional female astronomer, experts say
Cambridge’s Institute of Astronomy is trying to find a photo of Annie Walker, who died in 1940, to give her star billing
Multiomics and Machine Learning Identify Immunometabolic Biomarkers for Active Tuberculosis Diagnosis Against Nontuberculous Mycobacteria and Latent Tuberculosis Infection
This study utilized multiomics combined with a comprehensive machine learning-based predictive modeling approach to identify, validate, and prioritize circulating immunometabolic biomarkers in distinguishing tuberculosis (TB) from nontuberculous mycobacteria (NTM) infections, latent tuberculosis infection (LTBI), and other lung diseases (ODx). Functional omics data were collected from two discovery cohorts (76 patients in the TB-NTM cohort and 72 patients in the TB-LTBI-ODx cohort) and one validation cohort (68 TB patients and 30 LTBI patients). Mutiomics integrative analysis identified three plasma multiome biosignatures that could distinguish active TB from non-TB with promising performance, achieving area under the receiver operating characteristic curve (AUC) values of 0.70–0.90 across groups in both the discovery and validation cohorts.
A biocompatible Lossen rearrangement in Escherichia coli - Nature Chemistry
Biocompatible chemistry merges chemo-catalytic reactions with cellular metabolism for sustainable small-molecule synthesis. Now a biocompatible Lossen rearrangement has been demonstrated to control bacterial cell growth and chemistry and applied to the remediation and upcycling of polyethylene terephthalate plastic waste in whole-cell reactions and fermentations to produce valuable industrial chemicals, including the drug paracetamol.
Viruses and vectors tied to honey bee colony losses
Commercial beekeepers in the US reported severe colony losses early in 2025, as colonies were being staged for their critical role in the almond pollination season in California. Average reported losses since the preceding spring exceeded 60%, with substantial variation among operations. Many colonies were still actively collapsing in January, 2025, when pooled and individual samples were collected then screened for levels of known honey bee pathogens and parasites. Deformed wing virus strains A and B, along with Acute bee paralysis virus, were found at unusually high levels, either in pooled colony samples or in individual bees exhibiting shaking behaviors and morbidity. Differences between these two analyses suggest that direct collections of morbid bees provide a superior diagnostic for causal viruses, a suggestion borne out by confirmation of symptoms and morbidity following isolation and new inoculations. Since these viruses are known to be vectored by parasitic Varroa mites, mites from collapsed colonies were in turn screened for resistance to amitraz, a critical miticide used widely by beekeepers. Miticide resistance was found in all collected Varroa , underscoring the urgent need for new control strategies for this parasite. While viruses are a likely end-stage cause of colony death, other stressors such as nutritional stress and agrochemicals may have also played significant roles. ### Competing Interest Statement The authors have declared no competing interest.
Manufacture and use of allogrooming tools by wild killer whales
The manufacture and use of tools, while widespread in terrestrial animals1, has been less frequently reported in marine taxa2. In cetaceans, clear examples of tool use are largely restricted to foraging contexts, with no reports of cetaceans fashioning tools by modifying objects. Here, we report evidence of the widespread manufacture and use of allogrooming tools in a population of resident killer whales (Orcinus orca ater).
The long-term effects of chemotherapy on normal blood cells - Nature Genetics
Mutational signature analysis of blood cells isolated from 23 chemotherapy-exposed samples and 9 nonexposed controls characterizes the effects of various drugs on mutational burden, signature exposure and cell types.
Deciphering cancer genomes with GenomeSpy: a grammar-based visualization toolkit
Visualization is an indispensable facet of genomic data analysis. Despite the abundance of specialized visualization tools, there remains a distinct need for tailored solutions. However, their implementation typically requires extensive programming expertise from bioinformaticians and software developers, especially when building interactive applications. Toolkits based on visualization grammars offer a more accessible, declarative way to author new visualizations. Yet, current grammar-based solutions fall short in adequately supporting the interactive analysis of large datasets with extensive sample collections, a pivotal task often encountered in cancer research.
The mutagenic forces shaping the genomes of lung cancer in never smokers - Nature
An analysis of data from the Sherlock-Lung study provides insight into the mutational processes that contribute to lung cancer in never smokers, and looks at the possible role of factors such as air pollution and passive smoking.
The consequences of letting avian influenza run rampant in US poultry
As of 20 May, the US Department of Agriculture (USDA) has confirmed highly pathogenic avian influenza (HPAI) in more than 173.1 million birds since the outbreak began in January 2022. The secretary of the US Department of Health and Human Services, Robert Kennedy Jr., has suggested allowing the unmitigated spread of HPAI in turkeys and chickens to identify surviving birds—a sentiment supported by Brooke Rollins, secretary of the USDA, which, along with state-level departments of agriculture, has jurisdiction over animal disease outbreaks (1)
Scientists warn US will lose a generation of talent because of Trump cuts
Political interference and chaotic cuts to staff, programs and grants at the National Science Foundation are producing ‘devastating consequences’
HIMS and HERS
With obesity afflicting over 44% of U.S. adults, Americans are sick, facing a chronic disease epidemic unlike anything we’ve ever seen before. Fortunately, we now have a powerful tool to address

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