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Restoring Vision with Stem Cell–Derived Retinal Cells by Overcoming ILM Barrier

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Degeneration of retinal ganglion cells can cause irreversible vision loss. Pluripotent stem cells (PSCs) could, in theory, be used to replace lost ganglion cells. However, past attempts at injection of these cells have failed because the cells are not able to reach the retina.

Now, researchers have successfully demonstrated that disrupting an eye structure long suspected of blocking the growth and survival of transplanted nerve cells—the internal limiting basement membrane (ILM)—may help restore vision in people with optic nerve damage.

The work suggests that altering or removing the thin layer of tissue, which separates the light-sensing retinal tissue at the back of the eye from the gel-like vitreous fluid that fills the eye, was needed for the survival and migration of donor human PSC-derived retinal ganglion cells into the retina of mice, rats, and nonhuman primates. This technique could help transplanted retinal ganglion cells survive and grow in people with blinding optic nerve damage.

This work is published in Science Translational Medicine in the paper, “The internal limiting basement membrane inhibits functional engraftment of transplanted human retinal ganglion cells in vivo.

Damage, or optic neuropathy, occurs when retinal ganglion cells die of disease, inflammation, or injury and stop carrying electrical signals to the brain. Common causes of damage include glaucoma, optic nerve inflammation (optic neuritis), and ischemic optic neuropathy (sudden loss of blood flow to the optic nerve).

Healthy, functional human retinal ganglion cells can be grown in a lab, but most die when transplanted, said Thomas Vincent Johnson III, MD, PhD, a professor of ophthalmology at the Johns Hopkins Wilmer Eye Institute. “Even when the retinal ganglion cells survive, they remain on the retina’s surface and do not migrate into the tissue or form the connections with other nerve cells necessary to detect light,” he noted.

Researchers have speculated that the internal limiting membrane, present in many vertebrates, including humans, may be causing transplant failures.

Starting with immunosuppressed rodents, the researchers injected lab-grown human retinal ganglion cells (hRGCs) into the vitreous humors of mice with an inborn gene mutation that caused an incomplete, patchy internal limiting membrane to form. They then injected the human retinal ganglion cells into a second group of mice treated with an enzyme solution known to partially digest the membrane without damaging the eye. Lastly, they injected a third, control group of mice treated with an inactive sterile solution. After two weeks, the team observed transplantation survival in 95% of eyes (45/50) with the inborn structural defect, 80% of enzymatically disrupted eyes (32/40), and 75% of control group eyes (12/16).

The researchers then traced where the surviving human retinal ganglion cells settled and grew in the mice, noting that a much greater percentage reached the retinal ganglion cell layer in mice born with a patchy internal limiting membrane and in those treated with the enzyme.

Capturing 3D images of the migrated cells, the researchers say they observed that 2% (plus or minus 0.6%) and 7.1% (plus or minus 1.6%) surviving cells in enzyme-treated and mutant eyes, respectively, matured to form dendrites. In contrast, migration and maturation only occurred in 0.01% plus or minus 0.01% of surviving control human retinal ganglion cells.

Conducting similar experiments in larger eyes and donated eye tissue replicated the group’s findings, establishing evidence that the inner limiting membrane is indeed a structural obstacle to neuron replacement, the researchers noted. They also established a surgical procedure for retinal ganglion cell transplantation that could be used in clinical trials, thus advancing potential methods for restoring vision in humans with optic neuropathy.

While the study’s results are promising, Johnson cautions that further work is still needed before their experimental findings can be applied to people. “We know our methods are effective, but we don’t know if completely removing the internal limiting membrane helps or harms the retinal ganglion cells in the long run,” he said. “It will likely take several years before our findings could become available as an experimental therapy, but the methods we developed will guide the field moving forward.”

The post Restoring Vision with Stem Cell–Derived Retinal Cells by Overcoming ILM Barrier appeared first on GEN – Genetic Engineering and Biotechnology News.

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Neumora discards depression asset, lays off staffers after pair of late-stage flops

Neumora discards depression asset, lays off staffers after pair of late-stage flops

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Neumora Therapeutics is laying off 35% of workers after its most advanced asset failed a pair of Phase 3 studies, sending the biotech’s stock spiraling early Monday.​ ​Read More

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AI Predicts Gene Regulation for Drug Discovery Using Condensate Morphology

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In a study published in Cell titled, “Deep learning of functional perturbations from condensate morphology,” researchers at Princeton University have applied AI to understand how drugs affect the dynamics of key structures within the cell. The work introduces a tool that can map morphology to functional outcomes and shed light on markers of health. 

The authors examined the changes in shape of biomolecular condensates, tiny droplets in cells that drive transcription and other gene regulation processes linked to disease, including Alzheimer’s, ALS and cancer. The findings support a robust system for monitoring and evaluating cellular responses to drugs at a single-cell level. 

“The central problem in biology is how do you get emergent structure from individual molecular interactions,” said Cliff Brangwynne, PhD, professor of chemical and biological engineering at Princeton and corresponding author of the study. “The key innovation here was to develop a way to learn from the images and classify the patterns that are emergent.” 

The team used an advanced microscope to image nucleolar morphology changes in hundreds of human cells under a range of drug-controlled conditions. Machine learning tools sorted the images into four basic categories based on the shape of the nucleolus, uncovering “cap” and “necklace” shapes linked to cellular stress responses.

The authors ran a panel of drugs to examine the effect on nucleolar formation and measured changes in the condensate’s development. Varying concentrations caused different degrees of change in both caps and necklaces.  

Two known anti-cancer drugs caused caps, while a third drug, called topotecan, triggered a new nucleolus morphology that the researchers labeled “flower.” While topotecan inhibits TOP1, an key enzyme during DNA replication, loss of TOP1 induced the flower shape and uncovered the enzyme’s role in maintaining nucleolar organization by regulating RNA processing. 

“No one’s seen this flower morphology before,” said Brangwynne. “The network flagged it as not fitting neatly into the other three categories.” 

The team also tested their neural network on other condensates related to RNA processes, observing similar dose-and-response results for drugs specific to nuclear speckles, a hub for messenger RNA activity, and condensates from respiratory syncytial virus. 

This finding underscores the value of analyzing morphological changes. “You could be missing other important features,” said Anita Donlic, PhD, postdoctoral researcher and first author of the study. “Things that could tell you there’s new biology.” 

The post AI Predicts Gene Regulation for Drug Discovery Using Condensate Morphology appeared first on GEN – Genetic Engineering and Biotechnology News.

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Elicio crashes on midstage pancreatic cancer miss but will advance to Phase 3

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Elicio Therapeutics’ investigational cancer immunotherapy failed to meet the primary endpoint of disease-free survival in a Phase 2 trial—a result the company attributed mostly to a disproportionate number of patients with higher residual disease.

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