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Luc7, the blue group of proteins, against a background of human cells.

Splice of life

MIT News

The Burge lab has discovered a new type of control over RNA splicing, a process critical for gene expression. Appearing in a new Nature Communications paper, their study sheds light on how this control mechanism can go wrong—and serve as a potential therapeutic target—in acute myelogenous leukemias and other diseases.

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Disarming Cancer

Whitehead Institute

Weinberg and Spranger Lab researchers are studying the biology behind two of cancer's most deadly evolutions—metastasis and resistance to treatment. Previous work showed that quasi-mesenchymal cells cross-protect their epithelial neighbors in the same tumor and shield it from immune attack, keeping out cancer-destroying immune cells. In new work supported by the Ludwig Center for Molecular Oncology at MIT and appearing in Cancer Discovery, researchers identified six quasi-mesenchymal molecules that help carry out this defense. Of the six, the enzyme CD73 proved most effective in making breast carcinoma cells more vulnerable to immunotherapy and reducing the severity of metastasis.

New Year, New Faces

MIT Koch Institute

A trio of new Koch Institute extramural faculty members hails from MIT’s Departments of Chemical Engineering and Chemistry. Katie Galloway connects basic research questions—in gene circuits, genome architecture, and cell-fate transitions—to tool development for biomedical applications. Laura Kiessling uses chemical biology to elucidate the biological roles of carbohydrates, with a focus on learning new mechanistic concepts. Ron Raines studies the chemical basis and biological purpose for protein structure and function. A hearty welcome to all!

NCI, MIT Cancer Research Turn 50

MIT Koch Institute

This year marks the 50th anniversary of the National Cancer Institute, the history of which is intimately linked with that of cancer research at MIT. Following passage of the National Cancer Act of 1971, Professor Salvador Luria, the Nobel prize-winning head of MIT’s Department of Biology, applied for and won funding to open one of the first NCI-designated cancer centers. The MIT Center for Cancer Research, predecessor to the Koch Institute, set the standard for investigating the fundamental nature of cancer, making key biological discoveries that helped shape the field and advance new treatments. Efforts are underway to name the KI Auditorium in Luria’s honor.

Read about Luria’s science and mentorship here.

Green Lights for KI Faculty Startups

MIT Koch Institute

The end of year brings new beginnings for KI faculty startups. Lumicell’s signature imaging system has been granted fast track designation approval for breast cancer treatment. Fate Therapeutics reports positive Phase 1 data for its combination immunotherapy as well as a promising case study for its targeted NK cell therapy, both in lymphoma patients. Verastem announces Phase 2 initiation for trials in recurrent low-grade serous ovarian cancer. Syros presents positive results from Phase 2 trials in acute myeloid leukemia and an initiation plan for future trials. Finally, Dragonfly Therapeutics has licensed its first NK cell based immunotherapy candidate to Merck.

Blazing Trails in Biopharma

Endpoints News

Dragonfly Therapeutics Head of Biology Ann Cheung is featured among Endpoints News’ top trailblazers in biopharmaceutical research & development. The profile chronicles her career transitions from her early years as the lone immuno-oncology researcher in the Jacks Lab to her current role moving NK cell therapies from bench to bedside. Longtime Koch Institute member Aviv Regev is also recognized for her groundbreaking work in single cell sequencing, computational biology, and genetics.

Division of Liver

Nature Communications

The Shalek Lab codiscovered a mechanism that helps damaged livers function while they regenerate. A study appearing in Nature Communications showed that liver cells increase transcription of important genes ahead of proliferation, and may even divide labor between cells that proliferate and those that maintain core functions. This contributes to a larger effort to identify stem cells in normal and cancerous liver tissue, and is funded in part by the MIT Stem Cell Initiative.

Bringing Computers Into the Protein Fold

MIT School of Science

The Keating Lab mixes lab work, modeling and, most recently, machine learning to understand how protein sequences determine their interactions. While the COVID-19 crisis disrupts lab research, Keating’s team is focusing on computational projects, including exploring interactions between “short linear motifs” and a family of proteins implicated in metastasis. 

The Long History of Rapid Vaccine Development

MIT Koch Institute

In the 1970s, Phillip Sharp and his colleagues on the fifth floor of the MIT Center for Cancer Research set out to unravel the mysteries of tumor virology, cancer genetics, and cell biology. Looking at parts of the adenovirus genome responsible for tumor development, Sharp had long wondered why RNA in the nucleus was longer than RNA found outside the nucleus in the cytoplasm. While this curiosity led to the Nobel Prize-winning discovery of split genes and spliced RNA, neither Sharp nor his colleagues were thinking about the possibility of mRNA vaccines at the time. Nevertheless, that discovery, together with many years of mRNA research and key technology advances like nanoparticle delivery of RNA, set the stage for companies such as Pfizer and Moderna to develop mRNA-based COVID-19 vaccines with record speed.

The discoveries that enabled RNA vaccines | RNA vaccines explained

Live and Let Liver

MIT News

The Cima Lab has developed a non-invasive diagnostic tool to assess liver damage. The technology, described in Nature Biomedical Engineering, uses nuclear magnetic resonance to measure fat content and detect scarring that can be indicative of fatty liver disease and a precursor to fibrosis, both known risk factors for cancer.

Barzilay Argues for Equity in AI-Influenced Health Care

Stat News

Machine learning pioneer Regina Barzilay is holding AI developers to a higher standard, flagging commonly-used machine learning models as likely perpetrators of health care inequities. Barzilay cites her experience image-based breast cancer risk prediction, where existing AI models assessed white women’s risks more accurately than for women of African and Asian descent. (subscription required)