v2

latestOpenAPI 3.1.02026-07-3171165552.0 KB
Search

Get search results from a query

get/api_partner/search

Query parameters

format'json' | 'csv' | 'ris'

Result format.

Example:csv

Result format.

termstring nullable

Cross-field search term. Can be left blank.

Cross-field search term. Can be left blank.

mode'all' | 'citations' | 'papers' | 'question-answering'

Select search mode, see above.

Select search mode, see above.

limitinteger

How many results to fetch. Up to 10,000 can be fetched at once.

How many results to fetch. Up to 10,000 can be fetched at once.

offsetinteger

Can be used for pagination in combination with limit.

Can be used for pagination in combination with limit.

sort'date' | 'total_cited' | 'total_supported' | 'total_contrasted' | 'total_mentioned' | 'total_citing_publications' nullable

How the results should be sorted. Leave blank for generic query 'relevance'.

How the results should be sorted. Leave blank for generic query 'relevance'.

sort_order'asc' | 'desc' nullable

Result sort order for selected sort.

Result sort order for selected sort.

titlestring nullable

Match text in publication title.

Match text in publication title.

abstractstring nullable

Match text in publication abstract.

Match text in publication abstract.

doistring nullable

Scope the search to a single DOI (exact match). Convenience alias for a one-element dois. Combine with term to search within a known publication.

Scope the search to a single DOI (exact match). Convenience alias for a one-element dois. Combine with term to search within a known publication.

doisstring[]

Scope the search to one or more specific DOIs (exact match). Combine with term to search within a known publication.

Scope the search to one or more specific DOIs (exact match). Combine with term to search within a known publication.

date_fromstring nullable

Match publications published from this date onwards (YYYY-MM-DD or just YYYY).

Match publications published from this date onwards (YYYY-MM-DD or just YYYY).

date_tostring nullable

Match publications published up to this date (YYYY-MM-DD or just YYYY).

Match publications published up to this date (YYYY-MM-DD or just YYYY).

citation_typesstring[]

Match smart citations of certain types.

Match smart citations of certain types.

has_retractionboolean nullable

Publication has retraction or not.

Publication has retraction or not.

has_concernboolean nullable

Publication has editorial concern or not.

Publication has editorial concern or not.

has_correctionboolean nullable

Publication has correction or not.

Publication has correction or not.

has_erratumboolean nullable

Publication has erratum or not.

Publication has erratum or not.

has_withdrawnboolean nullable

Publication has been withdrawn or not.

Publication has been withdrawn or not.

has_tallyboolean nullable

Publication has smart citations made towards it or not (i.e. a scite tally of > 0).

Publication has smart citations made towards it or not (i.e. a scite tally of > 0).

supporting_frominteger nullable

Number of supporting citations made from publication. Leave blank for any count.

Number of supporting citations made from publication. Leave blank for any count.

supporting_tointeger nullable

Number of supporting citations made toward publication. Leave blank for any count.

Number of supporting citations made toward publication. Leave blank for any count.

mentioning_frominteger nullable

Number of mentioning citations made from publication. Leave blank for any count.

Number of mentioning citations made from publication. Leave blank for any count.

mentioning_tointeger nullable

Number of mentioning citations made toward publication. Leave blank for any count.

Number of mentioning citations made toward publication. Leave blank for any count.

contrasting_frominteger nullable

Number of contrasting citations made from publication. Leave blank for any count.

Number of contrasting citations made from publication. Leave blank for any count.

contrasting_tointeger nullable

Number of contrasting citations made toward publication. Leave blank for any count.

Number of contrasting citations made toward publication. Leave blank for any count.

citing_publications_frominteger nullable

Number of traditional citations made from publication AKA the number of references. Leave blank for any count.

Number of traditional citations made from publication AKA the number of references. Leave blank for any count.

citing_publications_tointeger nullable

Number of traditional citations made toward publication. Leave blank for any count.

Number of traditional citations made toward publication. Leave blank for any count.

authorstring nullable

Publication author name.

Publication author name.

authorsstring[]
journalstring nullable

Journal in which publication appears.

Journal in which publication appears.

journalsstring[]
publisherstring nullable

Publisher of the publication.

Publisher of the publication.

sectionstring nullable

Publication section in which citation statement appears.

Publication section in which citation statement appears.

sectionsstring[]
paper_typestring nullable

Publication type.

Publication type.

paper_typesstring[]
affiliationstring nullable

Author affiliation.

Author affiliation.

affiliationsstring[]
topicstring nullable

Publication topic.

Publication topic.

topicsstring[]
substancesstring[]

Pubchem substance canonical name.

Pubchem substance canonical name.

mesh_typestring[]

Pubmed mesh descriptor and/or qualifier for publication.

Pubmed mesh descriptor and/or qualifier for publication.

compute_aggregationsboolean

For a given search query, this flag will control whether counts are computed and returned for the possible aggregations.

For a given search query, this flag will control whether counts are computed and returned for the possible aggregations.

aggregationsstring[]

List of aggregation types to compute counts for. Only used if compute_aggregations is true.

List of aggregation types to compute counts for. Only used if compute_aggregations is true.

Headers

authorizationstring

Set to Bearer <token> to pass token for authorization.

Set to Bearer <token> to pass token for authorization.

Response

Successful Response

countinteger required
countIsApproximateboolean
suggestedTermstring nullable
restrictedCitesboolean

Example response

{
  "aggregations": {
    "affiliations": [],
    "authors": [],
    "citationTypeDateHistogram": [],
    "dateHistogram": [],
    "editorialNotices": [],
    "journals": [],
    "meshDescriptors": [],
    "paperTypes": [],
    "substances": [],
    "topics": []
  },
  "count": 111787,
  "hits": [
    {
      "abstract": "The ability to alter genomes specifically by <strong class=\"highlight\">CRISPR</strong>-Cas gene editing has revolutionized biological research, biotechnology, and medicine. Broad therapeutic application of this technology, however, will require thorough preclinical assessment of off-target editing by homology-based prediction coupled with reliable methods for detecting off-target editing. Several off-target site nomination assays exist, but careful comparison is needed to ascertain their relative strengths and weaknesses. In this study, HEK293T cells were treated with\n     \n      Streptococcus pyogenes\n     \n     Cas9 and eight guide RNAs with varying levels of predicted promiscuity in order to compare the performance of three homology-independent off-target nomination methods: the cell-based assay, GUIDE-seq, and the biochemical assays CIRCLE-seq and SITE-seq. The three methods were benchmarked by sequencing 75,000 homology-nominated sites using hybrid capture followed by high-throughput sequencing, providing the most comprehensive assessment of such methods to date. The three methods performed similarly in nominating sequence-confirmed off-target sites, but with large differences in the total number of sites nominated. When combined with homology-dependent nomination methods and confirmation by sequencing, all three off-target nomination methods provide a comprehensive assessment of off-target activity. GUIDE-seq's low false-positive rate and the high correlation of its signal with observed editing highlight its suitability for nominating off-target sites for\n     \n      ex vivo\n     \n     <strong class=\"highlight\">CRISPR</strong>-Cas therapies.",
      "authors": [
        {
          "authorName": "Nicole Flanagan",
          "authorSequenceNumber": "5",
          "authorSlug": "nicole-flanagan-RVyDAMN"
        },
        {
          "authorName": "Maria C Lei Zhang",
          "authorSequenceNumber": "6",
          "authorSlug": "maria-c-lei-zhang-K6bjW3p"
        },
        {
          "authorName": "John D Kulman",
          "authorSequenceNumber": "13",
          "authorSlug": "john-d-kulman-9O8j4OG"
        },
        {
          "authorName": "Andrew Kernytsky",
          "authorSequenceNumber": "15",
          "authorSlug": "andrew-kernytsky-VKLdVO"
        },
        {
          "authorName": "Elaine Huang",
          "authorSequenceNumber": "7",
          "authorSlug": "elaine-huang-dvv0pd9"
        },
        {
          "authorName": "Aditya S Khedkar",
          "authorSequenceNumber": "8",
          "authorSlug": "aditya-s-khedkar-XxaxLDE"
        },
        {
          "authorName": "J Mike Toomey",
          "authorSequenceNumber": "9",
          "authorSlug": "j-mike-toomey-mOPAr62"
        },
        {
          "authorName": "Courtney A Shearer",
          "authorSequenceNumber": "10",
          "authorSlug": "courtney-a-shearer-D1MV3Lw"
        },
        {
          "authorName": "Alexander W Needham",
          "authorSequenceNumber": "11",
          "authorSlug": "alexander-w-needham-EWmRZnP"
        },
        {
          "authorName": "Tony W. Ho",
          "authorSequenceNumber": "12",
          "authorSlug": "tony-w-ho-mG9vLj"
        },
        {
          "affiliation": "CRISPR Therapeutics",
          "affiliationSlug": "crispr-therapeutics-XegjD",
          "authorName": "Hemangi G. Chaudhari",
          "authorSequenceNumber": "1",
          "authorSlug": "hemangi-g-chaudhari-ePLGRZ"
        },
        {
          "authorName": "Thomas J. Cradick",
          "authorSequenceNumber": "14",
          "authorSlug": "thomas-j-cradick-4YpK8P"
        },
        {
          "affiliation": "TScan Therapeutics",
          "affiliationSlug": "tscan-therapeutics-j6D0l",
          "authorName": "Holly J Whitton",
          "authorSequenceNumber": "3",
          "authorSlug": "holly-j-whitton-68br3jp"
        },
        {
          "affiliation": "CRISPR Therapeutics",
          "affiliationSlug": "crispr-therapeutics-XegjD",
          "authorName": "Jon Penterman",
          "authorSequenceNumber": "2",
          "authorSlug": "jon-penterman-ke5XYw3"
        },
        {
          "affiliation": "CRISPR Therapeutics",
          "affiliationSlug": "crispr-therapeutics-XegjD",
          "authorName": "Sarah J Spencer",
          "authorSequenceNumber": "4",
          "authorSlug": "sarah-j-spencer-MVEyDLY"
        }
      ],
      "citations": [
        {
          "id": 2369710504,
          "lang": "en",
          "langConfidence": "0.8899999856948853",
          "negative": 0.015631215646862984,
          "neutral": 1,
          "positive": 0.018351007252931595,
          "refLocation": "b2/1",
          "section": "introduction",
          "selfCites": [],
          "snippet": "The development of engineered nucleases that target specific sites in the genome has driven advances in basic and applied research at a rapid pace. <cite data-doi=\"10.1126/science.1225829\"> 1 </cite> , <cite data-doi=\"10.1038/mtna.2011.5\"> 2 </cite> The more recent advent of facile <strong class=\"highlight\">CRISPR</strong>-Cas methods for programmable RNA-guided genome editing has further quickened the pace of both discovery and clinical application. <cite data-doi=\"https://doi.org/10.1146/annurev-pharmtox-010814-124454\"> 3 </cite> , <cite data-doi=\"10.1016/j.omtm.2019.02.008\"> 4 </cite> The Cas9 nuclease, in combination with a chimeric guide RNA (gRNA), cleaves genomic sites in a sequence-specific manner.",
          "snippetHidden": false,
          "source": "10.1089/crispr.2020.0053",
          "target": "10.1038/mtna.2011.5",
          "type": "mentioning",
          "typeConfidence": 1
        }
      ],
      "date": "2020-12-01",
      "doi": "10.1089/crispr.2020.0053",
      "editorialNotices": [
        {
          "date": "2020-12-1",
          "doi": "10.1089/crispr.2020.0053",
          "noticeDoi": "10.1089/crispr.2020.29116.smi",
          "status": "Comment"
        },
        {
          "date": "2021-2-1",
          "doi": "10.1089/crispr.2020.0053",
          "noticeDoi": "10.1089/crispr.2020.0053.correx",
          "status": "Has erratum"
        }
      ],
      "highlightedFields": [
        "journal",
        "shortJournal",
        "abstract",
        "citations.snippet",
        "title"
      ],
      "id": "10.1089/crispr.2020.0053",
      "issns": [
        "2573-1599",
        "2573-1602"
      ],
      "issue": "6",
      "journal": "The <strong Class=\"highlight\">crispr</Strong> Journal",
      "lastUpdate": 1621320453,
      "meshTypes": [
        {
          "descriptorId": "D000072669",
          "descriptorName": "Gene Editing",
          "qualifierId": "Q000379",
          "qualifierName": "methods"
        },
        {
          "descriptorId": "D000072669",
          "descriptorName": "Gene Editing",
          "qualifierId": "Q000639",
          "qualifierName": "trends"
        },
        {
          "descriptorId": "D000072669",
          "descriptorName": "Gene Editing",
          "qualifierId": "Q000941",
          "qualifierName": "ethics"
        },
        {
          "descriptorId": "D064113",
          "descriptorName": "CRISPR-Cas Systems",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D015894",
          "descriptorName": "Genome, Human",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D042822",
          "descriptorName": "Genomic Instability",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D059014",
          "descriptorName": "High-Throughput Nucleotide Sequencing",
          "qualifierId": "Q000379",
          "qualifierName": "methods"
        },
        {
          "descriptorId": "D017394",
          "descriptorName": "RNA, Guide",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D013297",
          "descriptorName": "Streptococcus pyogenes",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D013297",
          "descriptorName": "Streptococcus pyogenes",
          "qualifierId": "Q000472",
          "qualifierName": "pathogenicity"
        }
      ],
      "normalizedTypes": [
        "research support, non-u.s. gov't",
        "article"
      ],
      "page": "440-453",
      "publisher": "Mary Ann Liebert Inc",
      "shortJournal": "The <strong class=\"highlight\">CRISPR</strong> Journal",
      "slug": "evaluation-of-homology-independent-crispr-cas9-off-target-8G5M9DL9",
      "tally": {
        "citingPublications": 13,
        "contradicting": 0,
        "mentioning": 9,
        "supporting": 0,
        "total": 9,
        "unclassified": 0
      },
      "title": "Evaluation of Homology-Independent <strong class=\"highlight\">CRISPR</strong>-Cas9 Off-Target Assessment Methods",
      "volume": "3",
      "year": 2020
    },
    {
      "abstract": "The constant selective pressure exerted by phages, the viruses that infect bacteria, has led to the evolution of a wide range of anti-phage defenses. One of these defense mechanisms, <strong class=\"highlight\">CRISPR</strong>-Cas, provides an adaptive immune system to battle phage infection and inhibit horizontal gene transfer by plasmids, transposons, and other mobile genetic elements. Although <strong class=\"highlight\">CRISPR</strong>-Cas systems are widespread in bacteria and archaea, they appear to have minimal long-term evolutionary effects with respect to limiting horizontal gene transfer. One factor that may contribute to this may be the presence of potent inhibitors of <strong class=\"highlight\">CRISPR</strong>-Cas systems, known as anti-<strong class=\"highlight\">CRISPR</strong> proteins. Forty unique families of anti-<strong class=\"highlight\">CRISPR</strong> proteins have been described to date. These inhibitors, which are active against both Class 1 and 2 <strong class=\"highlight\">CRISPR</strong>-Cas systems, have a wide range of mechanisms of activity. Studies of these proteins have provided important insight into the evolutionary arms race between bacteria and phages, and have contributed to the development of biotechnological tools that can be harnessed for control of <strong class=\"highlight\">CRISPR</strong>-Cas genome editing.",
      "authors": [
        {
          "affiliation": "University of Toronto",
          "affiliationSlug": "university-of-toronto-xWjA",
          "authorName": "Sungwon Hwang",
          "authorSequenceNumber": "1",
          "authorSlug": "sungwon-hwang-G35YWgb"
        },
        {
          "affiliation": "University of Toronto",
          "affiliationSlug": "university-of-toronto-xWjA",
          "authorName": "Karen L. Maxwell",
          "authorSequenceNumber": "2",
          "authorSlug": "karen-l-maxwell-RZvJNG"
        }
      ],
      "citations": [
        {
          "id": 2187679880,
          "lang": "en",
          "langConfidence": "0.8899999856948853",
          "negative": 0.03010692000389099,
          "neutral": 1,
          "positive": 0.02649279497563839,
          "refLocation": "b27/4",
          "section": "protein inhibitors of crispr-cas systems 27",
          "selfCites": [],
          "snippet": "",
          "snippetHidden": true,
          "source": "10.1089/crispr.2018.0052",
          "target": "10.1016/j.cell.2017.07.037",
          "type": "mentioning",
          "typeConfidence": 1
        },
        {
          "id": 2187679811,
          "lang": "en",
          "langConfidence": "0.9300000071525574",
          "negative": 0.009289187192916869,
          "neutral": 1,
          "positive": 0.012535284273326397,
          "refLocation": "b7/1",
          "section": "introduction",
          "selfCites": [],
          "snippet": "",
          "snippetHidden": true,
          "source": "10.1089/crispr.2018.0052",
          "target": "10.1038/nature11723",
          "type": "mentioning",
          "typeConfidence": 1
        },
        {
          "id": 2187679834,
          "lang": "en",
          "langConfidence": "0.8999999761581421",
          "negative": 0.0020255858078598974,
          "neutral": 1,
          "positive": 0.0019376501441001892,
          "refLocation": "b23/1",
          "section": "probing for additional anti-crisprs",
          "selfCites": [],
          "snippet": "",
          "snippetHidden": true,
          "source": "10.1089/crispr.2018.0052",
          "target": "10.1089/crispr.2018.0043",
          "type": "mentioning",
          "typeConfidence": 1
        }
      ],
      "date": "2019-02-01",
      "doi": "10.1089/crispr.2018.0052",
      "editorialNotices": [],
      "highlightedFields": [
        "journal",
        "shortJournal",
        "abstract",
        "citations.snippet",
        "title"
      ],
      "id": "10.1089/crispr.2018.0052",
      "issns": [
        "2573-1599",
        "2573-1602"
      ],
      "issue": "1",
      "journal": "The <strong Class=\"highlight\">crispr</Strong> Journal",
      "lastUpdate": 1614211293,
      "meshTypes": [
        {
          "descriptorId": "D001105",
          "descriptorName": "Archaea",
          "qualifierId": "Q000821",
          "qualifierName": "virology"
        },
        {
          "descriptorId": "D001419",
          "descriptorName": "Bacteria",
          "qualifierId": "Q000821",
          "qualifierName": "virology"
        },
        {
          "descriptorId": "D001435",
          "descriptorName": "Bacteriophages",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D017105",
          "descriptorName": "Pseudomonas Phages",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D014764",
          "descriptorName": "Viral Proteins",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D001105",
          "descriptorName": "Archaea",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D001105",
          "descriptorName": "Archaea",
          "qualifierId": "Q000276",
          "qualifierName": "immunology"
        },
        {
          "descriptorId": "D001419",
          "descriptorName": "Bacteria",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D001419",
          "descriptorName": "Bacteria",
          "qualifierId": "Q000276",
          "qualifierName": "immunology"
        },
        {
          "descriptorId": "D001435",
          "descriptorName": "Bacteriophages",
          "qualifierId": "Q000378",
          "qualifierName": "metabolism"
        },
        {
          "descriptorId": "D000076987",
          "descriptorName": "CRISPR-Associated Protein 9",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D000076987",
          "descriptorName": "CRISPR-Associated Protein 9",
          "qualifierId": "Q000276",
          "qualifierName": "immunology"
        },
        {
          "descriptorId": "D064112",
          "descriptorName": "Clustered Regularly Interspaced Short Palindromic Repeats",
          "qualifierId": "Q000276",
          "qualifierName": "immunology"
        },
        {
          "descriptorId": "D019295",
          "descriptorName": "Computational Biology",
          "qualifierId": "Q000379",
          "qualifierName": "methods"
        },
        {
          "descriptorId": "D000072669",
          "descriptorName": "Gene Editing",
          "qualifierId": "Q000379",
          "qualifierName": "methods"
        },
        {
          "descriptorId": "D010957",
          "descriptorName": "Plasmids",
          "qualifierId": "Q000378",
          "qualifierName": "metabolism"
        },
        {
          "descriptorId": "D039002",
          "descriptorName": "Prophages",
          "qualifierId": "Q000235",
          "qualifierName": "genetics"
        },
        {
          "descriptorId": "D039002",
          "descriptorName": "Prophages",
          "qualifierId": "Q000378",
          "qualifierName": "metabolism"
        },
        {
          "descriptorId": "D017105",
          "descriptorName": "Pseudomonas Phages",
          "qualifierId": "Q000378",
          "qualifierName": "metabolism"
        },
        {
          "descriptorId": "D014764",
          "descriptorName": "Viral Proteins",
          "qualifierId": "Q000378",
          "qualifierName": "metabolism"
        }
      ],
      "normalizedTypes": [
        "article",
        "review"
      ],
      "page": "23-30",
      "publisher": "Mary Ann Liebert Inc",
      "shortJournal": "The <strong class=\"highlight\">CRISPR</strong> Journal",
      "slug": "meet-the-anti-crisprs-widespread-protein-A32PLdE",
      "tally": {
        "citingPublications": 57,
        "contradicting": 0,
        "mentioning": 52,
        "supporting": 0,
        "total": 52,
        "unclassified": 0
      },
      "title": "Meet the Anti-<strong class=\"highlight\">CRISPRs</strong>: Widespread Protein Inhibitors of <strong class=\"highlight\">CRISPR</strong>-Cas Systems",
      "volume": "2",
      "year": 2019
    },
    {
      "abstract": "<strong class=\"highlight\">CRISPR</strong>-Cas has proven to be the most versatile genetic tinkering system of our time, predominantly as a precision genome editing tool. Here, we demonstrate two additions to the repertoire of <strong class=\"highlight\">CRISPR's</strong> application for constructing donor DNA templates: <strong class=\"highlight\">CRISPR</strong>-CLONInG and <strong class=\"highlight\">CRISPR</strong>-CLIP. <strong class=\"highlight\">CRISPR</strong>-CLONInG (<strong class=\"highlight\">CRISPR</strong>-Cutting and Ligation Of Nucleic acid In vitro via Gibson) was devised to enable efficient cut-and-paste of multiple complex DNA fragments by using <strong class=\"highlight\">CRISPR</strong>-Cas9 as a digestion alternative with precision and exclusivity features, followed by joining the digested products via Gibson Assembly, to construct double-stranded DNA and adeno-associated virus (AAV) donor vectors rapidly without cloning scars. <strong class=\"highlight\">CRISPR</strong>-CLIP (<strong class=\"highlight\">CRISPR</strong>-Clipped Long ssDNA via Incising Plasmid) was devised as a DNA clipping tool to retrieve long single-stranded DNA (lssDNA) efficiently from plasmid, up to 3.5 kbase, which can be supplied as the donor template for creating genetically engineered mice via Easi-<strong class=\"highlight\">CRISPR</strong>. We utilized two different Cas types (Cpf1 and Cas9n) to induce two distinct incisions at the respective ends of the lssDNA cassette junctions on the plasmid, yielding three independent single-stranded DNA units of unique sizes eligible for strand separation, followed by target strand clip-out through gel extraction. The retrieval of the lssDNA donor circumvents involvements of restriction enzymes and DNA polymerase-based steps. Hence, it not only retains sequence fidelity but also carries virtually no restriction on sequence composition, further mitigating limitations on the current Easi-<strong class=\"highlight\">CRISPR</strong> method. With the add-on feature of universal DNA-tag sequences of Cpf1-Cas9 duo protospacer adjacent motif, <strong class=\"highlight\">CRISPR</strong>-CLIP can be facile and applicable to generate lssDNA templates for any genomic target of choice. Additionally, we demonstrate robust gene editing efficiencies in the neuroblastoma cell line, as well as in mice attained with the AAV and lssDNA donors constructed herein.",
      "authors": [
        {
          "affiliation": "Rockefeller University",
          "affiliationSlug": "rockefeller-university-n6RX",
          "authorName": "Dorjee T.N. Shola",
          "authorSequenceNumber": "1",
          "authorSlug": "dorjee-t-n-shola-K6PxwWe"
        },
        {
          "affiliation": "Rockefeller University",
          "affiliationSlug": "rockefeller-university-n6RX",
          "authorName": "Chingwen Yang",
          "authorSequenceNumber": "2",
          "authorSlug": "chingwen-yang-XjPX2D"
        },
        {
          "affiliation": "Rockefeller University",
          "affiliationSlug": "rockefeller-university-n6RX",
          "authorName": "Vhy-Shelta Kewaldar",
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      "abstract": "The discovery of <strong class=\"highlight\">CRISPR</strong> has revolutionized the field of genome engineering, but the potential of this technology is far from reaching its limits. In this review, we explore the broad range of applications of <strong class=\"highlight\">CRISPR</strong> technology to highlight the rapid expansion of the field beyond gene editing alone. It has been demonstrated that <strong class=\"highlight\">CRISPR</strong> technology can control gene expression, spatiotemporally image the genome in vivo, and detect specific nucleic acid sequences for diagnostics. In addition, new technologies are under development to improve <strong class=\"highlight\">CRISPR</strong> quality controls for gene editing, thereby improving the reliability of these technologies for therapeutics and beyond. These are just some of the many <strong class=\"highlight\">CRISPR</strong> tools that have been developed in recent years, and the toolbox continues to diversify.",
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      "abstract": "Over the past two decades, developments in nextgeneration sequencing technologies have led a flourishing era of ''genome reading''. Recent <strong class=\"highlight\">CRISPR</strong>-based editing technologies are the beginning of a ''genome editing'' renaissance. <strong class=\"highlight\">CRISPR</strong> sequences were first discovered by microbiologists, but since 2012-2013, scientists across numerous fields worldwide have been attracted by the potential of <strong class=\"highlight\">CRISPR</strong>-Cas editing technologies as a versatile and accessible genome editing tool. A growing genome editing toolbox based on <strong class=\"highlight\">CRISPR</strong> systems involving Cas9, Cas12, Cas13, base editors (BEs), and prime editors (PEs) is advancing research in agriculture, biology, biotechnology, and medicine. [1][2][3] China has established itself as one of leading nations in the <strong class=\"highlight\">CRISPR</strong> revolution due to the immense scientific curiosity of the research community and generous support from the Chinese government, including heavy investment from central, provincial, and city governments in China. Both the National Natural Science Foundation of the central government and the Ministry of Science and Technology have approved multiple projects in various disciplines. In September 2017, China launched the Committee of Genome Editing, Genetics Society of China, which became a platform for accessible communication and cooperation between scientists to accelerate the development of <strong class=\"highlight\">CRISPR</strong> research and applications in China. At this annual workshop, scientists working in agriculture, basic research, biotechnology, and medicine shared their group's progress.",
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      "abstract": "Over the past 8 years, the widespread adoption of <strong class=\"highlight\">CRISPR</strong>-based technologies has fueled the global genome editing revolution. This platform is based on Cas molecular machines such as Cas9, Cas12, Cas13, as well as other <strong class=\"highlight\">CRISPR</strong> effector proteins that are able to alter the genome, transcriptome, and epigenome of virtually any species. Technological improvements have rendered these tools more efficient and precise, and enabled functional diversification and specialization, as recently illustrated by the rise of base editing and the quickly growing demand for prime editing constructs. Here, we discuss the continued adoption of <strong class=\"highlight\">CRISPR</strong> tools and constructs distributed by the nonprofit organization Addgene, highlight the trends in the global demand for the <strong class=\"highlight\">CRISPR</strong> toolbox, and consider the widespread attitude changes around open sharing that are having a transformative effect on speeding up science.",
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      "abstract": "Despite the strong presence of Chinese scientists in genome-editing research, little attention has been paid to the legal, economic, and scientific development of patented <strong class=\"highlight\">CRISPR</strong> technologies in China. In this study, we focus on <strong class=\"highlight\">CRISPR</strong> patent documents from academic and industrial Chinese players to assess their positioning on this breakthrough technology. We review the fields of application and the <strong class=\"highlight\">CRISPR</strong> components claimed in the relevant patent documents. Our results show different profiles observed for academic or industrial assignees. Most of the patent families in our data set cover applications in genome editing and nucleic-acid detection for human therapeutic and diagnostic purposes. Trends in the patent data since 2014 confirm that China' R&amp;D has rapidly developed a significant <strong class=\"highlight\">CRISPR</strong> patent landscape of its own, covering a diverse range of systems and applications. These recent developments deserve closer scrutiny from the international <strong class=\"highlight\">CRISPR</strong> community.",
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      "volume": "4",
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    },
    {
      "abstract": "<strong class=\"highlight\">CRISPR</strong> technology has dramatically changed scientists' ability to conduct research in medicine, biotechnology, and agriculture through faster, more efficient genome editing. A key driver of the technology's adoption is the easy, fast, and inexpensive access to vectors and the resulting next-generation tools by the nonprofit plasmid repository Addgene. Since 2013, Addgene has shipped over 100,000 <strong class=\"highlight\">CRISPR</strong> plasmids to more than 75 countries worldwide. This pipeline of new technologies is enabling cutting-edge research to address the grand challenges of mankind.",
      "authors": [
        {
          "affiliation": "North Carolina State University",
          "affiliationSlug": "north-carolina-state-university-dv2b",
          "authorName": "Caroline M LaManna",
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          "affiliation": "North Carolina State University",
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          "authorName": "Rodolphe Barrangou",
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      "title": "Enabling the Rise of a <strong class=\"highlight\">CRISPR</strong> World",
      "volume": "1",
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    {
      "abstract": "The <strong class=\"highlight\">CRISPR</strong>-<strong class=\"highlight\">CRISPR</strong>-associated (Cas) nuclease system offers the ability to perform unprecedented functional genetic experiments and the promise of therapy for a variety of genetic disorders. The understanding of factors contributing to <strong class=\"highlight\">CRISPR</strong> targeting efficacy and specificity continues to evolve. As <strong class=\"highlight\">CRISPR</strong> systems rely on Watson-Crick base pairing to ultimately mediate genomic cleavage, it logically follows that genetic variation would affect <strong class=\"highlight\">CRISPR</strong> targeting by increasing or decreasing sequence homology at on-target and off-target sites or by altering protospacer adjacent motifs. Numerous efforts have been made to document the extent of human genetic variation, which can serve as resources to understand and mitigate the effect of genetic variation on <strong class=\"highlight\">CRISPR</strong> targeting. Here, we review efforts to elucidate the effect of human genetic variation on <strong class=\"highlight\">CRISPR</strong> targeting at on-target and off-target sites with considerations for laboratory experiments and clinical translation of <strong class=\"highlight\">CRISPR</strong>-based therapies.",
      "authors": [
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          "affiliation": "Harvard University",
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          "authorName": "Matthew C. Canver",
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          "affiliation": "Harvard University",
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          "affiliation": "Harvard University",
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          "authorName": "Luca Pinello",
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      "publisher": "Mary Ann Liebert Inc",
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      "title": "Impact of Genetic Variation on <strong class=\"highlight\">CRISPR</strong>-Cas Targeting",
      "volume": "1",
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    },
    {
      "abstract": "Abstract Student-centered practices, including student-focused research opportunities, enhance biology education and comprehension. One way to support student interest is through research opportunities in faculty laboratories. However, alternatives to traditional research apprenticeships are important for the inclusion of more undergraduate students in <strong class=\"highlight\">CRISPR</strong>-Cas-based research. Student interest in <strong class=\"highlight\">CRISPR</strong>-Cas technologies serves as a timely focal point for deepening undergraduate student engagement in biology courses. In this article, we describe some of the ongoing efforts to bring <strong class=\"highlight\">CRISPR</strong>-Cas technology out of the classroom and into the teaching laboratory.\nIntroductionThe most effective biology teaching actively engages students in their classrooms and coursework through group-work, activities, and discussion, which all access higher-order thinking and problem-solving skills.",
      "authors": [
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          "affiliation": "Western Washington University",
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          "authorName": "Lina Dahlberg",
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          "affiliation": "Western Washington University",
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          "authorName": "Anna M Groat Carmona",
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