Inflammatory bowel disease (IBD) is associated with reduced species diversity of gut bacteria, but figuring out which strains are involved, and how, has proven challenging. Adarsh Kumbhari, Thomas Cheng, Helena Lau, Ramnik Xavier, Christopher Smillie, and colleagues analyzed fecal metagenomes and identified hundreds of ancient strains enriched in IBD patients. These strains have adapted over millions of years to survive in the difficult environment imposed by inflammation, outcompeting healthy strains during bouts of heightened inflammation. Moreover, health-associated strains were predictive of an inflammation biomarker, indicating their possible protective role and potential as a diagnostic tool. Read more in Cell Host & Microbe: https://lnkd.in/eVS_3NTq #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
Broad Institute of MIT and Harvard
Research Services
Cambridge, MA 126,642 followers
About us
The Broad Institute brings together a diverse group of individuals from across its partner institutions — undergraduate and graduate students, postdoctoral fellows, professional scientists, administrative professionals, and academic faculty. The culture and environment at the Broad is designed to encourage creativity and to engage all participants, regardless of role or seniority, in the mission of the Institute. Within this setting, researchers are empowered — both intellectually and technically — to confront even the most difficult biomedical challenges. The Institute’s organization is unique among biomedical research institutions. It encompasses three types of organizational units: core member laboratories, programs and platforms. Scientists within these units work closely together — and with other collaborators around the world — to tackle critical problems in human biology and disease.
- Website
-
http://www.broadinstitute.org/
External link for Broad Institute of MIT and Harvard
- Industry
- Research Services
- Company size
- 501-1,000 employees
- Headquarters
- Cambridge, MA
- Type
- Nonprofit
- Founded
- 2003
- Specialties
- Chemical biology, Genomics, Imaging, Metabolite profiling, Proteomics, RNAi, Therapeutics discovery and development, Cancer, Cell circuits, Genome sequencing and analysis, Epigenomics, Infectious disease, Metabolism, Psychiatric disease, and Medical and population genetics
Locations
Employees at Broad Institute of MIT and Harvard
Updates
-
Congratulations to Broadies Steve McCarroll, Vijay Sankaran, Jonathan Abraham, and Edward Chouchani for being named #HHMIInvestigators!
⭐️ Big news! We are thrilled to announce that HHMI is investing over $300 million in 26 new #HHMIInvestigators from 19 US institutions. These top scientists will drive groundbreaking research in diverse fields, from neuroscience to immunology to structural biology and beyond. This significant investment will enable these scientists to push the boundaries of science and make pioneering discoveries over the next seven years. We are excited to see the incredible advancements and innovations that will emerge from their work. Please join us in welcoming these brilliant minds to the HHMI community! Read more: https://hhmi.news/4dakbnW
-
-
Meet Lindsey Erion-Barner, senior scientist for the Broad’s Spatial Technology Platform. A mechanical engineer and microscope builder, Erion-Barner leads the development and implementation of imaging-based spatial transcriptomics and proteomic profiling technology. We spoke with the self-described “space nerd” about the goals of the platform, the joys of building and jerry-rigging, and what astronomy and microscopy have in common. https://lnkd.in/etChfx4g #BroadInstitute #Careers #CareerProfile #MechanicalEngineer #Science
-
-
Broad Institute of MIT and Harvard reposted this
In collaboration with Shivashankar G.V.'s lab at PSI Paul Scherrer Institut at ETH Zürich, Schmidt Center Director Caroline Uhler and Ph.D. student Xinyi Zhang are developing a new combined imaging and #AI approach to improve the staging of breast cancer. “Using #MachineLearning to analyze data can lead to more accurate and simpler solutions for important biological questions, ultimately leading to better disease diagnosis and treatment,” says Uhler. Learn more about their research, published today in Nature Portfolio: https://lnkd.in/et3RSriP #DCIS #ChromatinImaging #UnsupervisedLearning #RepresentationLearning #ML #NatureCommunications #SchmidtCenter #BroadInstitute #MIT #MITEECS #MITIDSS #CarolineUhler #XinyiZhang #GVShivashankar #ScienceNews #ScientificResearch Broad Institute of MIT and Harvard MIT Institute for Data, Systems, and Society (IDSS) MIT EECS
Eric and Wendy Schmidt Center | Researchers identify cheap and effective biomarkers for DCIS tumor stage
ericandwendyschmidtcenter.org
-
Broad Institute of MIT and Harvard reposted this
Learn more about Director Center Caroline Uhler and Ph.D. student Xinyi Zhang's latest research, in collaboration with PSI Paul Scherrer Institut. Broad Institute of MIT and Harvard Nature Portfolio
Researchers at PSI Paul Scherrer Institut and Massachusetts Institute of Technology are developing a new approach, which combines imaging and #artificial #intelligence #AI to improve the staging of #breast #cancer. The researchers, led by G.V. Shivashankar, Head of the Laboratory of Nanoscale Biology at PSI and Professor of Mechano-Genetics at ETH Zürich, and Caroline Uhler, Director of the Eric and Wendy Schmidt Center at the Broad Institute and Professor of Electrical Engineering and Computer Science at MIT, trained a #MachineLearning algorithm on 560 tissue samples from 122 patients. After a learning phase, the AI model was able to identify patterns in the tissue sections that matched the differences identified by human pathologists. “Our analysis shows that chromatin images, which are cheap and easy to obtain, together with powerful AI algorithms, can provide enough information to study how the cell state and tissue organisation change, and thereby accurately predict the stage of the disease,” explains Caroline Uhler. The researchers believe that this kind of tumour classification based on AI and chromatin imaging has great potential. However, before it can be used in practical applications, numerous further studies are needed to demonstrate the reliability and safety of the approach, including long-term monitoring of patients. #Medicine #HealthInnovation #ResearchAtPSI
Breast cancer classification using AI
psi.ch
-
Complex buildings generally depend upon a scaffold as they are assembled. The brain uses the same principle. During development, early nerve cell projections target a precocious group of inhibitory cells, the somatostatin interneurons, which are essential for the correct assembly of cortical circuits. Later in development these signals weaken as mature circuits form. Deepanjali Dwivedi PhD, Gord Fishell, and Gabrielle Pouchelon found that this process relies on chemical sensors on these interneurons that signal when it is time to dispense with early wiring and establish adult function. Remarkably, when this process is perturbed the basic exploratory behavior of mice is affected. Read more in Nature Communications. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
Metabotropic signaling within somatostatin interneurons controls transient thalamocortical inputs during development - Nature Communications
nature.com
-
Mass spectrometry-based single cell proteomics (SCP) is becoming a viable complement to other single cell technologies (single cell DNA sequencing, RNA sequencing, imaging, etc.), along the way addressing challenges related to sensitivity and throughput. Writing in Nature Communications, Claudia Ctortecka, Steven Carr, and colleagues describe their efforts to combine chip-based sample preparation, workflow automation, high-throughput liquid chromatography, latest generation mass spectrometry instrumentation, and computational advances to enhance SCP depth and reproducibility. Their efforts have resulted in an integrated workflow that will allow SCP studies to move beyond cell identification and explore complex biology. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications - Nature Communications
nature.com
-
Our researchers have built AI models that predict potential toxic effects of drugs before they are tested in humans. These tools were trained on FDA-curated data and while they won’t replace traditional testing, promise to help better guide research and make drug development more efficient. #MachineLearning #DrugDevelopment #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
De-risking drug discovery with predictive AI
broadinstitute.org
-
While antibiotics target bacterial pathogens directly, killing them or interfering with their growth, in a study published in Nature Chemical Biology, Margarita Parada Kusz, Anne Clatworthy, Deborah Hung, and colleagues instead looked for compounds that alter the interactions between bacteria and their host. They found that 3-hydroxykynurenine (3-HK), a product of host tryptophan metabolism, protects zebrafish from lethal Pseudomonas and Salmonella infections. Surprisingly, 3-HK stops bacterial growth within immune cells called macrophages via kainate receptors, which are better known for their roles as neurotransmitter receptors in the nervous system. The findings demonstrate that host-directed therapies could be a potent approach for promoting recovery from infections. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch
3-Hydroxykynurenine targets kainate receptors to promote defense against infection - Nature Chemical Biology
nature.com
-
Seramount has recognized the Broad Institute as one of its 100 Best Companies, for the seventh time, recognizing Broad’s ongoing commitment and leadership in the areas of paid time off and leaves, benefits and work-life programs, and workplace best practices. Learn more about why Broad earned a spot on this year’s list at https://bit.ly/4cCajDh #BroadInstitute
-