The Broad Institute, Inc.

Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.

Development of therapeutic approaches involving the genetic modification of cells (e.g., T cells, stem cells, macrophages) or the use of viral/non-viral vectors to deliver genetic material for disease treatment.

Assays leveraging CRISPR-Cas systems (e.g., Cas12, Cas13) for highly specific and sensitive detection of target nucleic acids, often involving collateral cleavage activity or reporter molecules.

Therapeutic strategies employing nucleic acids (DNA, RNA, oligonucleotides) to modulate gene expression, deliver genetic material, or interfere with disease-causing pathways. Includes gene therapy using viral vectors.

Development of small molecules, often bifunctional (e.g., PROTACs) or molecular glues, that induce the ubiquitin-proteasome system or autophagy to selectively degrade specific disease-causing proteins.

Methods and reagents designed to improve the specificity, efficiency, or yield of nucleic acid capture, ligation, amplification, or library preparation steps, particularly for sequencing applications or quantitative analysis.

Design and synthesis of acyclic or carbocyclic organic compounds that selectively modulate specific biological targets or pathways for the treatment of diseases.

Computational methods and systems for analyzing biological data (e.g., genomic, proteomic, clinical) to diagnose diseases, predict patient prognosis, assess treatment response, or stratify patients for therapy.

Identification and measurement of specific nucleic acid sequences (DNA, RNA), their expression levels, or epigenetic modifications (e.g., methylation) as indicators for disease presence, progression, risk, or treatment response.

Computational techniques and algorithms for processing, aligning, and interpreting raw biological sequence data (DNA, RNA, protein), including identifying genetic variations, classifying organisms, or predicting sequence attributes.

Design and engineering of proteins or peptides to directly modulate immune responses, including enhancing antigen presentation, suppressing inflammation, or activating specific immune cell types.

Therapeutic interventions that target immune checkpoint pathways to either enhance or suppress immune responses, often used in cancer immunotherapy or autoimmune diseases.

Therapeutic approaches involving the use of living cells, often genetically modified or ex vivo activated, to treat diseases, particularly cancer, by modulating immune responses or replacing damaged cells.

Design and modification of antibodies or antibody-derived fragments for targeted therapeutic intervention, including bispecific formats, Fc region modifications, and activatable constructs.

Development and application of therapeutic proteins or peptides produced through recombinant DNA technology, including fusion proteins and modified growth factors.

Self-contained or modular devices designed to automate and integrate multiple steps of molecular diagnostic assays, from sample preparation to result interpretation, often for point-of-care or high-throughput applications.

Modification of protein or peptide sequences, structures, or post-translational modifications (e.g., glycosylation, lipidation) to enhance their stability, solubility, delivery, or therapeutic efficacy.

Applying computational methods, often involving machine learning and multiomics data, to design, analyze, and understand biomolecules, genetic sequences, or complex biological systems.

Delivery systems specifically engineered to administer advanced drug formulations (e.g., microparticles, biologics, extended-release systems) to achieve precise targeting, controlled release kinetics, or enhanced therapeutic efficacy within the body.

Techniques for identifying microorganisms, assessing their viability, quantifying their presence, profiling their metabolic activity, or determining their susceptibility to antimicrobial agents, often in complex biological or environmental samples.

Methods and systems for the efficient and scalable production, purification, and formulation of proteins and peptides, including fermentation, chromatography, and cell-based expression systems.

Development and use of engineered biological systems, such as organ-on-a-chip devices, dynamic hydrogels, or genetically modified cells, to mimic physiological conditions, study disease mechanisms, screen compounds, or develop cell-based therapies.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Processes and methodologies for the efficient and scalable preparation of complex heterocyclic compounds and their precursors, including specific reaction conditions, purification techniques, and intermediate compounds.

Methods and kits for amplifying nucleic acids at a constant temperature, enabling faster results and point-of-care applications, often used for pathogen or contamination detection.

Systems and methods for non-invasive or minimally invasive collection and analysis of physiological data (e.g., blood pressure, electrolytes, genetic markers, B cell repertoire) to assess patient health status, screen for conditions, or aid in diagnosis.

Miniaturized devices that manipulate small volumes of fluids (nanoliters to picoliters) through microchannels to perform laboratory functions like mixing, separation, reaction, and detection on a single chip.

Methods and systems for combining and analyzing diverse biological datasets (e.g., genomics, transcriptomics, proteomics, metabolomics) to uncover complex biological relationships, disease mechanisms, or temporal trajectories.

Development and use of animal subjects, often genetically modified, to study human diseases, test treatments, or understand biological processes.