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3. The mouse metabolic phenotyping center (MMPC) live consortium: an NIH resource for in vivo characterization of mouse models of diabetes and obesity

4. Impact of essential genes on the success of genome editing experiments generating 3313 new genetically engineered mouse lines

5. Systematic ocular phenotyping of 8,707 knockout mouse lines identifies genes associated with abnormal corneal phenotypes

6. Establishment and characterization of an hACE2/hTMPRSS2 knock-in mouse model to study SARS-CoV-2

7. Comprehensive ECG reference intervals in C57BL/6N substrains provide a generalizable guide for cardiac electrophysiology studies in mice

9. Topologically associating domain boundaries are required for normal genome function

10. Genome-wide screening reveals the genetic basis of mammalian embryonic eye development

11. Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes

12. Mendelian gene identification through mouse embryo viability screening

13. Exploring the role of peripheral nerves in trauma-induced heterotopic ossification.

15. Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy

16. A metabolome atlas of the aging mouse brain

17. Publisher Correction: Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy

18. Promoting validation and cross-phylogenetic integration in model organism research

19. Supplier-origin mouse microbiomes significantly influence locomotor and anxiety-related behavior, body morphology, and metabolism

20. Proteotyping of knockout mouse strains reveals sex- and strain-specific signatures in blood plasma

21. Response to correspondence on 'Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation'

22. Arap1 loss causes retinal pigment epithelium phagocytic dysfunction and subsequent photoreceptor death

23. A resource of targeted mutant mouse lines for 5,061 genes

24. Sex differences in skeletal muscle revealed through fiber type, capillarity, and transcriptomics profiling in mice

25. The Deep Genome Project

26. Human and mouse essentiality screens as a resource for disease gene discovery

27. Do organisms need an impact factor? Citations of key biological resources including model organisms reveal usage patterns and impact

28. Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation

29. Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density.

32. Identification of genetic elements in metabolism by high-throughput mouse phenotyping

33. A large scale hearing loss screen reveals an extensive unexplored genetic landscape for auditory dysfunction

34. High-throughput discovery of genetic determinants of circadian misalignment.

36. Animal models for studies of HIV-1 brain reservoirs

37. Genome-wide screening of mouse knockouts reveals novel genes required for normal integumentary and oculocutaneous structure and function

38. Topologically associating domain boundaries are required for normal genome function

39. Precision medicine: Look to the mice

40. Author Correction: Identification of genes required for eye development by high-throughput screening of mouse knockouts

41. Identification of genes required for eye development by high-throughput screening of mouse knockouts

43. Promoting validation and cross-phylogenetic integration in model organism research

44. Sestrin-2, a repressor of PDGFRβ signalling, promotes cigarette-smoke-induced pulmonary emphysema in mice and is upregulated in individuals with COPD

45. Animal models for studies of HIV-1 brain reservoirs

46. Arap1 loss causes retinal pigment epithelium phagocytic dysfunction and subsequent photoreceptor death

48. Additional file 2 of Mendelian gene identification through mouse embryo viability screening

49. Additional file 1 of Mendelian gene identification through mouse embryo viability screening

50. Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes

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