eIF4A emerges as a potential Achilles’ heel for triple-negative breast cancer
Targeting eIF4A to interfere with the synthesis of proteins the cancer needs to grow is producing promising results.
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From The Labs
5D4 disrupts several molecular pathways, including MYC, that lead to cancer growth
The findings strongly support the potential use of TopBP1 inhibitors as a targeted cancer therapy.
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Can changing the gut microbiome alter the course of a disease?
A simple, safe dietary intervention has an effect on the gut microbiome and metabolites in these patients.
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Deep brain stimulation induces more healthy neurons and sustained memory benefits in Rett animal models
DBS results in a significant and long-lasting improvement to memory in Rett animal models strongly suggesting evaluating this approach to treat Rett patients.
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Fungal infection in the brain produces changes like those seen in Alzheimer’s disease
This work potentially contributes an important new piece of the puzzle regarding the development of Alzheimer’s disease.
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Path-breaking research reveals new possibilities to improve treatment of endometrial carcinoma
Detailed molecular characterization of endometrial carcinomas identifies potential markers for guiding more precise treatment.
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Highlighting breast cancer research at Baylor College of Medicine
From the Labs joins Breast Cancer Awareness Month highlighting recent breast cancer research at Baylor College of Medicine.
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d16 reduces tumor growth and overcomes therapeutic resistance in mutant p53-bearing cancers
The researchers combined computational and experimental approaches that led to the discovery of d16 and its potential anti-cancer activity.
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Image of the Month: Newborn mouse eye
Microscopic details of a newborn mouse eye showing blood vessels (pink) and macrophage immune cells (green).
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PARMESAN: An AI-based predictive tool to find new treatments for genetic disorders
PARMESAN scans public biomedical literature databases, identifies and ranks gene-gene and drug-gene regulatory relationships and even leverages curated information to predict undiscovered relationships.
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