ArticleGenomics2010
Genome-wide end-sequenced BAC resources for the NOD/MrkTac() and NOD/ShiLtJ() mouse genomes.
Article in Genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- PP1 regulatory subunit NIPP1 regulates transcription of E2F1 target genes following DNA damage.Cancer science · 2021Article
- Ptpn22 and Cd2 Variations Are Associated with Altered Protein Expression and Susceptibility to Type 1 Diabetes in Nonobese Diabetic Mice.Journal of immunology (Baltimore, Md. : 1950) · 2015Article
- Genetic Analysis of Substrain Divergence in Non-Obese Diabetic (NOD) Mice.G3 (Bethesda, Md.) · 2015Article
- The Vertebrate Genome Annotation browser 10 years on.Nucleic acids research · 2014Article
- Fine mapping of type 1 diabetes regions Idd9.1 and Idd9.2 reveals genetic complexity.Mammalian genome : official journal of the International Mammalian Genome Society · 2013Article
- A germline-competent embryonic stem cell line from NOD.Cg-Prkdc ( scid ) Il2rg ( tm1Wjl )/SzJ (NSG) mice.Transgenic research · 2013Article
- The non-obese diabetic mouse sequence, annotation and variation resource: an aid for investigating type 1 diabetes.Database : the journal of biological databases and curation · 2013Article
- The B10 Idd9.3 locus mediates accumulation of functionally superior CD137(+) regulatory T cells in the nonobese diabetic type 1 diabetes model.Journal of immunology (Baltimore, Md. : 1950) · 2012Article
- Article
- An update on the use of NOD mice to study autoimmune (Type 1) diabetes.Expert review of clinical immunology · 2010Article
- Nonobese diabetic congenic strain analysis of autoimmune diabetes reveals genetic complexity of the Idd18 locus and identifies Vav3 as a candidate gene.Journal of immunology (Baltimore, Md. : 1950) · 2010Article
- Genetic Diversity Influences Response and Outcome to Blast Traumatic Brain Injury in a Murine Model.Neurotrauma reportsArticle
Corrections and comments
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Authors and funding
22 authors at 5 institutions in 3 countries.
Funding
Abstract
Non-obese diabetic (NOD) mice spontaneously develop type 1 diabetes (T1D) due to the progressive loss of insulin-secreting beta-cells by an autoimmune driven process. NOD mice represent a valuable tool for studying the genetics of T1D and for evaluating therapeutic interventions. Here we describe the development and characterization by end-sequencing of bacterial artificial chromosome (BAC) libraries derived from NOD/MrkTac (DIL NOD) and NOD/ShiLtJ (CHORI-29), two commonly used NOD substrains. The DIL NOD library is composed of 196,032 BACs and the CHORI-29 library is composed of 110,976 BACs. The average depth of genome coverage of the DIL NOD library, estimated from mapping the BAC end-sequences to the reference mouse genome sequence, was 7.1-fold across the autosomes and 6.6-fold across the X chromosome. Clones from this library have an average insert size of 150 kb and map to over 95.6% of the reference mouse genome assembly (NCBIm37), covering 98.8% of Ensembl mouse genes. By the same metric, the CHORI-29 library has an average depth over the autosomes of 5.0-fold and 2.8-fold coverage of the X chromosome, the reduced X chromosome coverage being due to the use of a male donor for this library. Clones from this library have an average insert size of 205 kb and map to 93.9% of the reference mouse genome assembly, covering 95.7% of Ensembl genes. We have identified and validated 191,841 single nucleotide polymorphisms (SNPs) for DIL NOD and 114,380 SNPs for CHORI-29. In total we generated 229,736,133 bp of sequence for the DIL NOD and 121,963,211 bp for the CHORI-29. These BAC libraries represent a powerful resource for functional studies, such as gene targeting in NOD embryonic stem (ES) cell lines, and for sequencing and mapping experiments.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.