Farzadfard et al., 2019 - Google Patents

Single-nucleotide-resolution computing and memory in living cells

Farzadfard et al., 2019

View HTML @Full View
Document ID
16105523200039966530
Author
Farzadfard F
Gharaei N
Higashikuni Y
Jung G
Cao J
Lu T
Publication year
Publication venue
Molecular cell

External Links

Snippet

The ability to process and store information in living cells is essential for developing next- generation therapeutics and studying biology in situ. However, existing strategies have limited recording capacity and are challenging to scale. To overcome these limitations, we …
Continue reading at www.cell.com (HTML) (other versions)

Classifications

    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12N—MICRO-ORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING OR MAINTAINING MICRO-ORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N15/00—Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
    • C12N15/09—Recombinant DNA-technology
    • C12N15/10—Processes for the isolation, preparation or purification of DNA or RNA
    • C12N15/1034—Isolating an individual clone by screening libraries
    • C12N15/1079—Screening libraries by altering the phenotype or phenotypic trait of the host
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12N—MICRO-ORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING OR MAINTAINING MICRO-ORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N15/00—Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
    • C12N15/09—Recombinant DNA-technology
    • C12N15/63—Introduction of foreign genetic material using vectors; Vectors; Use of hosts therefor; Regulation of expression
    • C12N15/70—Vectors or expression systems specially adapted for E. coli
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
    • G06F19/702—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for analysis and planning of chemical reactions and syntheses, e.g. synthesis design, reaction prediction, mechanism elucidation

Similar Documents

Publication Publication Date Title
Farzadfard et al. Single-nucleotide-resolution computing and memory in living cells
Weinberg et al. Large-scale design of robust genetic circuits with multiple inputs and outputs for mammalian cells
Tang et al. Rewritable multi-event analog recording in bacterial and mammalian cells
Roquet et al. Synthetic recombinase-based state machines in living cells
Farzadfard et al. Genomically encoded analog memory with precise in vivo DNA writing in living cell populations
Hanewich-Hollatz et al. Conditional guide RNAs: programmable conditional regulation of CRISPR/Cas function in bacterial and mammalian cells via dynamic RNA nanotechnology
Mutalik et al. Quantitative estimation of activity and quality for collections of functional genetic elements
Nielsen et al. Multi‐input CRISPR/C as genetic circuits that interface host regulatory networks
Bonnet et al. Rewritable digital data storage in live cells via engineered control of recombination directionality
Xu et al. Deep learning of the splicing (epi) genetic code reveals a novel candidate mechanism linking histone modifications to ESC fate decision
Kahl et al. A survey of enabling technologies in synthetic biology
Agrotis et al. A new age in functional genomics using CRISPR/Cas9 in arrayed library screening
Costa et al. Genome editing using engineered nucleases and their use in genomic screening
Wong et al. Layering genetic circuits to build a single cell, bacterial half adder
Guiziou et al. Hierarchical composition of reliable recombinase logic devices
Fernandez-Rodriguez et al. Memory and combinatorial logic based on DNA inversions: dynamics and evolutionary stability
Wade High-throughput silencing using the CRISPR-Cas9 system: a review of the benefits and challenges
Zúñiga et al. Rational programming of history-dependent logic in cellular populations
Ludlow et al. Insights into telomerase/hTERT alternative splicing regulation using bioinformatics and network analysis in cancer
Kemble et al. Flux, toxicity, and expression costs generate complex genetic interactions in a metabolic pathway
Peikon et al. In vivo generation of DNA sequence diversity for cellular barcoding
Folliard et al. A synthetic recombinase-based feedback loop results in robust expression
Guiziou et al. An automated design framework for multicellular recombinase logic
Dimas et al. Engineering repressors with coevolutionary cues facilitates toggle switches with a master reset
Karimova et al. Discovery of Nigri/nox and Panto/pox site-specific recombinase systems facilitates advanced genome engineering