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lambda phage packaging vectors  (New England Biolabs)


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    New England Biolabs lambda phage packaging vectors
    Targeted retrieval from metagenomic and genomic CCIC libraries. a) Top: General outline of metagenomic mining using CCIC retrieval. 1) Soil extracted DNA is cloned into barcoded pCCIC (barcodes are blue gradient boxes, sacB is in orange) using <t>lambda</t> <t>phage</t> packaging 2) to create a cosmid library in E. coli. 3) The cosmid library is sequenced by PacBio HiFi CSS. 4) Bioinformatic analysis of the assembled sequence data identifies captured diversity and vector barcodes. 5) Guide RNA matching a desired barcode is transformed into the library pool 6) triggering target specific dCas9 silencing of sacB, leading to target retrieval by clone-specific survival on sucrose. Bottom: CCIC-retrieval was used to isolate 4 CRISPR-Cas systems and a diverse collection of BGCs representing 12 different major biosynthetic classes. b) Top: General pipeline for genomic library mining using edge mapping and CCIC. 1) Genomic DNA is ligated into barcoded pCCIC vectors (barcodes are blue gradient boxes, sacB is orange) by lambda phage packaging 2) to generate a cosmid library. 3) Library DNA is fragmented using Nextera ‘tagmentation’ (i.e., Tn5 transposase) allowing for PCR amplification of fragments containing both a vector barcode and the edge of the cloned sequence. 4) Sequencing ready amplicons are generated allowing for 5) paired-end Miseq reads to link barcodes and the edge sequences. 6) As lambda phage captures 30–40 kb of sequence, this data generates a comprehensive index of captured regions across a reference genome. 7) A guide RNA matching a desired barcode linked to a target genomic region is transformed into the library pool triggering target specific dCas9 silencing of sacB and 8) leading to target retrieval by clone-specific growth on sucrose. Middle: Edge mapping data from an 11,000 membered S. albidoflavus cosmid library overlaid on the reference genome annotated with the location of 23 BGCs. Bottom: All previously uncharacterized BGCs that could fit on a single cosmid were isolated using edge mapping and CCIC-retrieval. The precision of edge mapping also allowed us to isolate 2 overlapping cosmids that contained a 41 kb polyketide synthase BGC (#5). Arrows indicate the edge of each cosmid.
    Lambda Phage Packaging Vectors, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 96/100, based on 2709 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/lambda phage packaging vectors/product/New England Biolabs
    Average 96 stars, based on 2709 article reviews
    lambda phage packaging vectors - by Bioz Stars, 2026-03
    96/100 stars

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    1) Product Images from "High-throughput retrieval of target sequences from complex clone libraries using CRISPRi"

    Article Title: High-throughput retrieval of target sequences from complex clone libraries using CRISPRi

    Journal: Nature biotechnology

    doi: 10.1038/s41587-022-01531-8

    Targeted retrieval from metagenomic and genomic CCIC libraries. a) Top: General outline of metagenomic mining using CCIC retrieval. 1) Soil extracted DNA is cloned into barcoded pCCIC (barcodes are blue gradient boxes, sacB is in orange) using lambda phage packaging 2) to create a cosmid library in E. coli. 3) The cosmid library is sequenced by PacBio HiFi CSS. 4) Bioinformatic analysis of the assembled sequence data identifies captured diversity and vector barcodes. 5) Guide RNA matching a desired barcode is transformed into the library pool 6) triggering target specific dCas9 silencing of sacB, leading to target retrieval by clone-specific survival on sucrose. Bottom: CCIC-retrieval was used to isolate 4 CRISPR-Cas systems and a diverse collection of BGCs representing 12 different major biosynthetic classes. b) Top: General pipeline for genomic library mining using edge mapping and CCIC. 1) Genomic DNA is ligated into barcoded pCCIC vectors (barcodes are blue gradient boxes, sacB is orange) by lambda phage packaging 2) to generate a cosmid library. 3) Library DNA is fragmented using Nextera ‘tagmentation’ (i.e., Tn5 transposase) allowing for PCR amplification of fragments containing both a vector barcode and the edge of the cloned sequence. 4) Sequencing ready amplicons are generated allowing for 5) paired-end Miseq reads to link barcodes and the edge sequences. 6) As lambda phage captures 30–40 kb of sequence, this data generates a comprehensive index of captured regions across a reference genome. 7) A guide RNA matching a desired barcode linked to a target genomic region is transformed into the library pool triggering target specific dCas9 silencing of sacB and 8) leading to target retrieval by clone-specific growth on sucrose. Middle: Edge mapping data from an 11,000 membered S. albidoflavus cosmid library overlaid on the reference genome annotated with the location of 23 BGCs. Bottom: All previously uncharacterized BGCs that could fit on a single cosmid were isolated using edge mapping and CCIC-retrieval. The precision of edge mapping also allowed us to isolate 2 overlapping cosmids that contained a 41 kb polyketide synthase BGC (#5). Arrows indicate the edge of each cosmid.
    Figure Legend Snippet: Targeted retrieval from metagenomic and genomic CCIC libraries. a) Top: General outline of metagenomic mining using CCIC retrieval. 1) Soil extracted DNA is cloned into barcoded pCCIC (barcodes are blue gradient boxes, sacB is in orange) using lambda phage packaging 2) to create a cosmid library in E. coli. 3) The cosmid library is sequenced by PacBio HiFi CSS. 4) Bioinformatic analysis of the assembled sequence data identifies captured diversity and vector barcodes. 5) Guide RNA matching a desired barcode is transformed into the library pool 6) triggering target specific dCas9 silencing of sacB, leading to target retrieval by clone-specific survival on sucrose. Bottom: CCIC-retrieval was used to isolate 4 CRISPR-Cas systems and a diverse collection of BGCs representing 12 different major biosynthetic classes. b) Top: General pipeline for genomic library mining using edge mapping and CCIC. 1) Genomic DNA is ligated into barcoded pCCIC vectors (barcodes are blue gradient boxes, sacB is orange) by lambda phage packaging 2) to generate a cosmid library. 3) Library DNA is fragmented using Nextera ‘tagmentation’ (i.e., Tn5 transposase) allowing for PCR amplification of fragments containing both a vector barcode and the edge of the cloned sequence. 4) Sequencing ready amplicons are generated allowing for 5) paired-end Miseq reads to link barcodes and the edge sequences. 6) As lambda phage captures 30–40 kb of sequence, this data generates a comprehensive index of captured regions across a reference genome. 7) A guide RNA matching a desired barcode linked to a target genomic region is transformed into the library pool triggering target specific dCas9 silencing of sacB and 8) leading to target retrieval by clone-specific growth on sucrose. Middle: Edge mapping data from an 11,000 membered S. albidoflavus cosmid library overlaid on the reference genome annotated with the location of 23 BGCs. Bottom: All previously uncharacterized BGCs that could fit on a single cosmid were isolated using edge mapping and CCIC-retrieval. The precision of edge mapping also allowed us to isolate 2 overlapping cosmids that contained a 41 kb polyketide synthase BGC (#5). Arrows indicate the edge of each cosmid.

    Techniques Used: Clone Assay, Sequencing, Plasmid Preparation, Transformation Assay, CRISPR, Amplification, Generated, Isolation



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    lambda phage packaging vectors  (New England Biolabs)
    96
    New England Biolabs lambda phage packaging vectors
    Targeted retrieval from metagenomic and genomic CCIC libraries. a) Top: General outline of metagenomic mining using CCIC retrieval. 1) Soil extracted DNA is cloned into barcoded pCCIC (barcodes are blue gradient boxes, sacB is in orange) using <t>lambda</t> <t>phage</t> packaging 2) to create a cosmid library in E. coli. 3) The cosmid library is sequenced by PacBio HiFi CSS. 4) Bioinformatic analysis of the assembled sequence data identifies captured diversity and vector barcodes. 5) Guide RNA matching a desired barcode is transformed into the library pool 6) triggering target specific dCas9 silencing of sacB, leading to target retrieval by clone-specific survival on sucrose. Bottom: CCIC-retrieval was used to isolate 4 CRISPR-Cas systems and a diverse collection of BGCs representing 12 different major biosynthetic classes. b) Top: General pipeline for genomic library mining using edge mapping and CCIC. 1) Genomic DNA is ligated into barcoded pCCIC vectors (barcodes are blue gradient boxes, sacB is orange) by lambda phage packaging 2) to generate a cosmid library. 3) Library DNA is fragmented using Nextera ‘tagmentation’ (i.e., Tn5 transposase) allowing for PCR amplification of fragments containing both a vector barcode and the edge of the cloned sequence. 4) Sequencing ready amplicons are generated allowing for 5) paired-end Miseq reads to link barcodes and the edge sequences. 6) As lambda phage captures 30–40 kb of sequence, this data generates a comprehensive index of captured regions across a reference genome. 7) A guide RNA matching a desired barcode linked to a target genomic region is transformed into the library pool triggering target specific dCas9 silencing of sacB and 8) leading to target retrieval by clone-specific growth on sucrose. Middle: Edge mapping data from an 11,000 membered S. albidoflavus cosmid library overlaid on the reference genome annotated with the location of 23 BGCs. Bottom: All previously uncharacterized BGCs that could fit on a single cosmid were isolated using edge mapping and CCIC-retrieval. The precision of edge mapping also allowed us to isolate 2 overlapping cosmids that contained a 41 kb polyketide synthase BGC (#5). Arrows indicate the edge of each cosmid.
    Lambda Phage Packaging Vectors, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/lambda phage packaging vectors/product/New England Biolabs
    Average 96 stars, based on 1 article reviews
    lambda phage packaging vectors - by Bioz Stars, 2026-03
    96/100 stars
    		  Buy from Supplier

    Image Search Results


    Targeted retrieval from metagenomic and genomic CCIC libraries. a) Top: General outline of metagenomic mining using CCIC retrieval. 1) Soil extracted DNA is cloned into barcoded pCCIC (barcodes are blue gradient boxes, sacB is in orange) using lambda phage packaging 2) to create a cosmid library in E. coli. 3) The cosmid library is sequenced by PacBio HiFi CSS. 4) Bioinformatic analysis of the assembled sequence data identifies captured diversity and vector barcodes. 5) Guide RNA matching a desired barcode is transformed into the library pool 6) triggering target specific dCas9 silencing of sacB, leading to target retrieval by clone-specific survival on sucrose. Bottom: CCIC-retrieval was used to isolate 4 CRISPR-Cas systems and a diverse collection of BGCs representing 12 different major biosynthetic classes. b) Top: General pipeline for genomic library mining using edge mapping and CCIC. 1) Genomic DNA is ligated into barcoded pCCIC vectors (barcodes are blue gradient boxes, sacB is orange) by lambda phage packaging 2) to generate a cosmid library. 3) Library DNA is fragmented using Nextera ‘tagmentation’ (i.e., Tn5 transposase) allowing for PCR amplification of fragments containing both a vector barcode and the edge of the cloned sequence. 4) Sequencing ready amplicons are generated allowing for 5) paired-end Miseq reads to link barcodes and the edge sequences. 6) As lambda phage captures 30–40 kb of sequence, this data generates a comprehensive index of captured regions across a reference genome. 7) A guide RNA matching a desired barcode linked to a target genomic region is transformed into the library pool triggering target specific dCas9 silencing of sacB and 8) leading to target retrieval by clone-specific growth on sucrose. Middle: Edge mapping data from an 11,000 membered S. albidoflavus cosmid library overlaid on the reference genome annotated with the location of 23 BGCs. Bottom: All previously uncharacterized BGCs that could fit on a single cosmid were isolated using edge mapping and CCIC-retrieval. The precision of edge mapping also allowed us to isolate 2 overlapping cosmids that contained a 41 kb polyketide synthase BGC (#5). Arrows indicate the edge of each cosmid.

    Journal: Nature biotechnology

    Article Title: High-throughput retrieval of target sequences from complex clone libraries using CRISPRi

    doi: 10.1038/s41587-022-01531-8

    Figure Lengend Snippet: Targeted retrieval from metagenomic and genomic CCIC libraries. a) Top: General outline of metagenomic mining using CCIC retrieval. 1) Soil extracted DNA is cloned into barcoded pCCIC (barcodes are blue gradient boxes, sacB is in orange) using lambda phage packaging 2) to create a cosmid library in E. coli. 3) The cosmid library is sequenced by PacBio HiFi CSS. 4) Bioinformatic analysis of the assembled sequence data identifies captured diversity and vector barcodes. 5) Guide RNA matching a desired barcode is transformed into the library pool 6) triggering target specific dCas9 silencing of sacB, leading to target retrieval by clone-specific survival on sucrose. Bottom: CCIC-retrieval was used to isolate 4 CRISPR-Cas systems and a diverse collection of BGCs representing 12 different major biosynthetic classes. b) Top: General pipeline for genomic library mining using edge mapping and CCIC. 1) Genomic DNA is ligated into barcoded pCCIC vectors (barcodes are blue gradient boxes, sacB is orange) by lambda phage packaging 2) to generate a cosmid library. 3) Library DNA is fragmented using Nextera ‘tagmentation’ (i.e., Tn5 transposase) allowing for PCR amplification of fragments containing both a vector barcode and the edge of the cloned sequence. 4) Sequencing ready amplicons are generated allowing for 5) paired-end Miseq reads to link barcodes and the edge sequences. 6) As lambda phage captures 30–40 kb of sequence, this data generates a comprehensive index of captured regions across a reference genome. 7) A guide RNA matching a desired barcode linked to a target genomic region is transformed into the library pool triggering target specific dCas9 silencing of sacB and 8) leading to target retrieval by clone-specific growth on sucrose. Middle: Edge mapping data from an 11,000 membered S. albidoflavus cosmid library overlaid on the reference genome annotated with the location of 23 BGCs. Bottom: All previously uncharacterized BGCs that could fit on a single cosmid were isolated using edge mapping and CCIC-retrieval. The precision of edge mapping also allowed us to isolate 2 overlapping cosmids that contained a 41 kb polyketide synthase BGC (#5). Arrows indicate the edge of each cosmid.

    Article Snippet: Lambda phage packaging Vectors for packaging were digested with SmaI and dephosphorylated using Quick CIP (NEB) according to the manufacturer’s instructions.

    Techniques: Clone Assay, Sequencing, Plasmid Preparation, Transformation Assay, CRISPR, Amplification, Generated, Isolation