New technologies reveal cross-cutting breakdowns in Alzheimer’s disease

“Single-cell profiling” is helping neuroscientists see how disease affects major brain cell types and identify common, potentially targetable pathways.

David Orenstein | Picower Institute for Learning and Memory • mit
Jan. 18, 2023 ~6 min

Scientists discover a new way of sharing genetic information in a common ocean microbe

Prochlorococcus, the world’s most abundant photosynthetic organism, reveals a gene-transfer mechanism that may be key to its abundance and diversity.

David L. Chandler | MIT News Office • mit
Jan. 5, 2023 ~8 min


New CRISPR-based tool inserts large DNA sequences at desired sites in cells

Known as PASTE, the technique holds potential for treating a variety of diseases caused by faulty genes.

Anne Trafton | MIT News Office • mit
Nov. 24, 2022 ~8 min

Alzheimer’s risk gene undermines insulation of brain’s “wiring”

In people carrying APOE4, a key brain cell mismanages cholesterol needed to insulate neurons properly — another sign APOE4 contributes to disease by disrupting brain lipids.

David Orenstein | Picower Institute for Learning and Memory • mit
Nov. 22, 2022 ~8 min

Scientists unveil the functional landscape of essential genes

Researchers harness new pooled, image-based screening method to probe the functions of over 5,000 essential genes in human cells.

Nicole Davis | Whitehead Institute • mit
Nov. 21, 2022 ~6 min

Nanosensors target enzymes to monitor and study cancer

By analyzing enzyme activity at the organism, tissue, and cellular scales, new sensors could provide new tools to clinicians and cancer researchers.

Bendta Schroeder | Erika Reinfeld | Koch Institute • mit
Nov. 2, 2022 ~8 min

A “door” into the mitochondrial membrane

Study finds the protein MTCH2 is responsible for shuttling various other proteins into the membrane of mitochondria. The finding could have implications for cancer treatments and MTCH2-linked conditions.

Eva Frederick | Whitehead Institute • mit
Oct. 25, 2022 ~7 min

Neurodegenerative disease can progress in newly identified patterns

A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.

Lauren Hinkel | MIT-IBM Watson AI Lab • mit
Sept. 27, 2022 ~10 min


Biologists glean insight into repetitive protein sequences

A computational analysis reveals that many repetitive sequences are shared across proteins and are similar in species from bacteria to humans.

Anne Trafton | MIT News Office • mit
Sept. 13, 2022 ~7 min

Using machine learning to identify undiagnosable cancers

A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.

Bendta Schroeder | Koch Institute • mit
Sept. 1, 2022 ~8 min

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