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stool dna kit  (tiangen biotech co)


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    Structured Review

    tiangen biotech co stool dna kit
    The workflow for analyzing chicken abdominal fat weight (AFW) via integrated omics. An experimental cohort of Qiandongnan Xiaoxiang chickens ( n = 205) was established for studying abdominal fat weight. At 70 days of age, AFW phenotypes were measured and samples of whole blood, serum and cecal contents were collected from all individuals; Cecal contents and serum samples were subjected to 16S rRNA gene sequencing <t>(for</t> <t>microbiota</t> profiling) and untargeted metabolomic analysis, respectively. Six serum cytokines were quantified. The two-part model was applied to identify cecal microbiota and serum metabolites associated with AFW and correlation analysis between AFW and cytokines was performed; <t>DNA</t> was subjected to whole-genome resequencing. Heritability estimates were generated for AFW-related cecal microbiota and serum metabolites, with microbiota associated genetic loci identified via microbial Genome-wide association studies (mGWAS); An integrated analysis of host genome, cecal microbiota and serum metabolome was conducted to dissect the interplay between host genetics and cecal microbiota and to explore the mechanisms by which they synergistically regulate metabolites to modulate AFW.
    Stool Dna Kit, supplied by tiangen biotech co, used in various techniques. Bioz Stars score: 99/100, based on 208 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/stool+dna+kit/Magnetic+Stool+DNA+Kit/pmc13010961-69-11-14
    Average 99 stars, based on 208 article reviews
    stool dna kit - by Bioz Stars, 2026-09
    99/100 stars

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    1) Product Images from "Multi-omics analysis identifies key microbial taxa and host genes controlling abdominal fat deposition in chickens"

    Article Title: Multi-omics analysis identifies key microbial taxa and host genes controlling abdominal fat deposition in chickens

    Journal: Poultry Science

    doi: 10.1016/j.psj.2026.106714

    The workflow for analyzing chicken abdominal fat weight (AFW) via integrated omics. An experimental cohort of Qiandongnan Xiaoxiang chickens ( n = 205) was established for studying abdominal fat weight. At 70 days of age, AFW phenotypes were measured and samples of whole blood, serum and cecal contents were collected from all individuals; Cecal contents and serum samples were subjected to 16S rRNA gene sequencing (for microbiota profiling) and untargeted metabolomic analysis, respectively. Six serum cytokines were quantified. The two-part model was applied to identify cecal microbiota and serum metabolites associated with AFW and correlation analysis between AFW and cytokines was performed; DNA was subjected to whole-genome resequencing. Heritability estimates were generated for AFW-related cecal microbiota and serum metabolites, with microbiota associated genetic loci identified via microbial Genome-wide association studies (mGWAS); An integrated analysis of host genome, cecal microbiota and serum metabolome was conducted to dissect the interplay between host genetics and cecal microbiota and to explore the mechanisms by which they synergistically regulate metabolites to modulate AFW.
    Figure Legend Snippet: The workflow for analyzing chicken abdominal fat weight (AFW) via integrated omics. An experimental cohort of Qiandongnan Xiaoxiang chickens ( n = 205) was established for studying abdominal fat weight. At 70 days of age, AFW phenotypes were measured and samples of whole blood, serum and cecal contents were collected from all individuals; Cecal contents and serum samples were subjected to 16S rRNA gene sequencing (for microbiota profiling) and untargeted metabolomic analysis, respectively. Six serum cytokines were quantified. The two-part model was applied to identify cecal microbiota and serum metabolites associated with AFW and correlation analysis between AFW and cytokines was performed; DNA was subjected to whole-genome resequencing. Heritability estimates were generated for AFW-related cecal microbiota and serum metabolites, with microbiota associated genetic loci identified via microbial Genome-wide association studies (mGWAS); An integrated analysis of host genome, cecal microbiota and serum metabolome was conducted to dissect the interplay between host genetics and cecal microbiota and to explore the mechanisms by which they synergistically regulate metabolites to modulate AFW.

    Techniques Used: Sequencing, Metabolomic, Generated, GWAS

    Related Articles

    DNA Extraction:

    Article Title: Rutin triggers IRE1-mediated GSDMD-dependent pyroptosis in macrophages to suppress systemic Salmonella infection.
    Article Snippet: .. DNA Extraction: Genomic DNA from intestinal contents was extracted using the Magnetic Soil and Stool DNA Kit (TianGen). .. Targeted Amplification: The V4 hypervariable region (515F/806R primers) was amplified with Phusion® High-Fidelity PCR Master Mix (NEB) under conditions: 98°C × 1 min; 30 cycles of 98°C × 10 s, 50°C × 30 s, 72°C × 30 s; final extension 72°C × 5 min (10 ng DNA template per reaction).

    Article Title: Ultrasound-assisted extraction optimization of Fructus Tribuli polysaccharides: How stir-frying processing alters structures and enhances antihypertensive efficacy.
    Article Snippet: .. Total DNA was obtained after total genomic DNA extraction from the microbial community according to the instructions in the Magnetic Soil and Stool DNA kit (Tiangen, Beijing, China). ..

    Article Title: Ultrasound-assisted extraction optimization of Fructus Tribuli polysaccharides: How stir-frying processing alters structures and enhances antihypertensive efficacy
    Article Snippet: .. Total DNA was obtained after total genomic DNA extraction from the microbial community according to the instructions in the Magnetic Soil and Stool DNA kit (Tiangen, Beijing, China). ..

    Sequencing:

    Article Title: Dynamic gut responses to sepsis uncovered by multi-omics profiling in a rodent model.
    Article Snippet: .. 16s rDNA sequencing Fecal samples were collected from mice, and DNA was extracted by using Magnetic Soil and Stool DNA Kit (TianGen, China, DP712), ensuring optimal yield and purity. ..

    Shotgun Sequencing:

    Article Title: Microbial and metabolic profiles in autism spectrum disorder with atopic dermatitis in children.
    Article Snippet: .. Microbial DNA was extracted using Magnetic Soil and Stool DNA Kit (TIANGEN, China) and then was quantified to build libraries for shotgun sequencing on NovaSeq 6000 platform with 150bp paired-end. ..



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    tiangen biotech co stool dna kit
    The workflow for analyzing chicken abdominal fat weight (AFW) via integrated omics. An experimental cohort of Qiandongnan Xiaoxiang chickens ( n = 205) was established for studying abdominal fat weight. At 70 days of age, AFW phenotypes were measured and samples of whole blood, serum and cecal contents were collected from all individuals; Cecal contents and serum samples were subjected to 16S rRNA gene sequencing <t>(for</t> <t>microbiota</t> profiling) and untargeted metabolomic analysis, respectively. Six serum cytokines were quantified. The two-part model was applied to identify cecal microbiota and serum metabolites associated with AFW and correlation analysis between AFW and cytokines was performed; <t>DNA</t> was subjected to whole-genome resequencing. Heritability estimates were generated for AFW-related cecal microbiota and serum metabolites, with microbiota associated genetic loci identified via microbial Genome-wide association studies (mGWAS); An integrated analysis of host genome, cecal microbiota and serum metabolome was conducted to dissect the interplay between host genetics and cecal microbiota and to explore the mechanisms by which they synergistically regulate metabolites to modulate AFW.
    Stool Dna Kit, supplied by tiangen biotech co, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/stool+dna+kit/Magnetic+Stool+DNA+Kit/pmc13010961-69-11-14
    Average 99 stars, based on 1 article reviews
    stool dna kit - by Bioz Stars, 2026-09
    99/100 stars
      Buy from Supplier

    Image Search Results


    The workflow for analyzing chicken abdominal fat weight (AFW) via integrated omics. An experimental cohort of Qiandongnan Xiaoxiang chickens ( n = 205) was established for studying abdominal fat weight. At 70 days of age, AFW phenotypes were measured and samples of whole blood, serum and cecal contents were collected from all individuals; Cecal contents and serum samples were subjected to 16S rRNA gene sequencing (for microbiota profiling) and untargeted metabolomic analysis, respectively. Six serum cytokines were quantified. The two-part model was applied to identify cecal microbiota and serum metabolites associated with AFW and correlation analysis between AFW and cytokines was performed; DNA was subjected to whole-genome resequencing. Heritability estimates were generated for AFW-related cecal microbiota and serum metabolites, with microbiota associated genetic loci identified via microbial Genome-wide association studies (mGWAS); An integrated analysis of host genome, cecal microbiota and serum metabolome was conducted to dissect the interplay between host genetics and cecal microbiota and to explore the mechanisms by which they synergistically regulate metabolites to modulate AFW.

    Journal: Poultry Science

    Article Title: Multi-omics analysis identifies key microbial taxa and host genes controlling abdominal fat deposition in chickens

    doi: 10.1016/j.psj.2026.106714

    Figure Lengend Snippet: The workflow for analyzing chicken abdominal fat weight (AFW) via integrated omics. An experimental cohort of Qiandongnan Xiaoxiang chickens ( n = 205) was established for studying abdominal fat weight. At 70 days of age, AFW phenotypes were measured and samples of whole blood, serum and cecal contents were collected from all individuals; Cecal contents and serum samples were subjected to 16S rRNA gene sequencing (for microbiota profiling) and untargeted metabolomic analysis, respectively. Six serum cytokines were quantified. The two-part model was applied to identify cecal microbiota and serum metabolites associated with AFW and correlation analysis between AFW and cytokines was performed; DNA was subjected to whole-genome resequencing. Heritability estimates were generated for AFW-related cecal microbiota and serum metabolites, with microbiota associated genetic loci identified via microbial Genome-wide association studies (mGWAS); An integrated analysis of host genome, cecal microbiota and serum metabolome was conducted to dissect the interplay between host genetics and cecal microbiota and to explore the mechanisms by which they synergistically regulate metabolites to modulate AFW.

    Article Snippet: DNA of cecal microbiota was extracted using the Magnetic Soil and Stool DNA Kit (Tiangen, Beijing, China), with procedures strictly followed the manufacturer’s protocols.

    Techniques: Sequencing, Metabolomic, Generated, GWAS