A5062442080- Advanced biosensing and bioanalysis techniques
- Cell Image Analysis Techniques
- Bacteriophages and microbial interactions
- DNA and Biological Computing
- RNA Interference and Gene Delivery
- Gene expression and cancer classification
- Advanced Fluorescence Microscopy Techniques
- Neural Networks and Applications
- Molecular Junctions and Nanostructures
- Microfluidic and Bio-sensing Technologies
- Single-cell and spatial transcriptomics
- Internet of Things and AI
- RNA and protein synthesis mechanisms
- Modular Robots and Swarm Intelligence
- Smart Systems and Machine Learning
- Advanced Materials and Mechanics
- Genomics and Chromatin Dynamics
- Molecular Biology Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
Harvard University
2022-2024
Center for Systems Biology
2022-2024
Inspire
2022
Dana-Farber Cancer Institute
2022
California Institute of Technology
2019
Abstract Mass cytometry uses metal-isotope-tagged antibodies to label targets of interest, which enables simultaneous measurements ~50 proteins or protein modifications in millions single cells, but its sensitivity is limited. Here, we present a signal amplification technology, termed Amplification by Cyclic Extension (ACE), implementing thermal-cycling-based DNA situ concatenation combination with 3-cyanovinylcarbazole phosphoramidite-based crosslinking enable simultaneously on >30...
Abstract Living systems achieve robust self-assembly across length scales. Meanwhile, nanofabrication strategies such as DNA origami have enabled of submicron-scale shapes.However, erroneous and missing linkages restrict the number unique that can be practically combined into a single supershape. We introduce crisscross polymerization DNA-origami slats for strictly seed-dependent growth custom multi-micron shapes with user-defined nanoscale surface patterning. Using library ~2000 strands...
Abstract Orthogonal DNA barcode library design is an essential task in bioengineering. Here we present seqwalk, efficient method for designing libraries that satisfy a sequence symmetry minimization (SSM) heuristic orthogonality, with theoretical guarantees of maximal or near-maximal size under certain constraints. Seqwalk encodes SSM constraints de Bruijn graph representation space, enabling the application recent advances discrete mathematics 1 to problem orthogonal design. We demonstrate...
Orthogonal sequence library design is an essential task in bioengineering. Typical approaches scale quadratically the size of candidate space. As such, exhaustive searches space to maximize are computationally intractable with existing methods. Here, we present SeqWalk, a time and memory efficient method for designing maximally-sized orthogonal libraries using symmetry minimization heuristic. SeqWalk encodes constraints de Bruijn graph representation space, enabling application traversal...