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tag science publishing immunology opinion
Clostridia to the Rescue
Shelby Bradford, PhD
| Mar 27, 2024
| 3 min read
Some commensal bacteria help shore up intestinal walls in mice, which can prevent food allergies.
Next-generation CAR and TCR Cancer Therapies
Danielle Gerhard, PhD
| Mar 15, 2024
| 10+ min read
From smart receptors to novel biologics, scientists plan to overcome the challenges of treating solid tumors.
Macrophages on the Fast Track to Tumor Defense
Laura Tran, PhD
| Feb 22, 2024
| 3 min read
In a race to the tumor, a macrophage’s phenotype can give it a leg up on the competition.
A New Piece in the HIV Replication Puzzle
Mariella Bodemeier Loayza Careaga, PhD
| Feb 14, 2024
| 4 min read
A host lipid-modifying enzyme plays a key role in HIV envelope formation, viral maturation, and infectivity.
Turning Off Metastasis in Breast Cancer
Nathan Ni, PhD
| Feb 13, 2024
| 4 min read
An on-off enzyme switch controls metastasis in mice.
A Science Sleuth Accuses a Harvard Medical School Neuroscientist of Research Misconduct
Danielle Gerhard, PhD
| Feb 15, 2024
| 5 min read
Researchers await the outcome of an ongoing investigation into dozens of instances of alleged image problems spanning 29 publications over a period of 23 years.
The Immune System Helps with Digestion
Shelby Bradford, PhD
| Jan 17, 2024
| 3 min read
A special type of immune cell aids digestion of chitin, a fiber found in mushrooms and insects.
Tweak to N Protein Makes Delta Variant More Infectious
Chloe Tenn
| Nov 5, 2021
| 2 min read
Using a novel lab technique, researchers identified a mutation that allows the virus to insert more genetic material into host cells.
The Evolution of Bats’ Super Immunity
Niki Spahich, PhD
| Jan 10, 2024
| 4 min read
Researchers generated complete genomes of two important bat species and explored their immune- and cancer-related genes.
Addressing Power and Pitfalls in Machine Learning Neoantigen Prediction
Deanna MacNeil, PhD
| Dec 11, 2023
| 4 min read
Researchers honed prediction models and datasets to unlock the potential of deep neural networks in biological applications while avoiding bias.
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