Genetics: From Genes to Genomes
Genetics: From Genes to Genomes
6th Edition
ISBN: 9781259700903
Author: Leland Hartwell Dr., Michael L. Goldberg Professor Dr., Janice Fischer, Leroy Hood Dr.
Publisher: McGraw-Hill Education
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Chapter 18, Problem 14P
a. Which genome manipulation technique would you use to create a mouse model for the human disease Leber congenital amaurosis (LCA), described at the very beginning of the chapter? Explain.
b. Which procedure would you use to generate a mouse model for fragile X syndrome, a trinucleotide repeat disease caused by a mutant allele of the FMR-1 gene? (Review the Fast Forward Box in Chapter 7 entitled Trinucleotide Repeat Diseases: Huntington Disease and Fragile X Syndrome.) Explain.
c. Which procedure would you use to create a mouse model for Huntington disease?
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When the S.cerevisiae genome was sequenced and surveyed for possible genes, only about 40% of those genes had been previously identified in forward genetic screens.  This left about 60% of predcited genes with no known function, leading some to dub the genes fun (function unknown) genes. a)As an approach to understanding the function of a certain fun gene, you wish to create a loss of function allele.  How would you do this? b)You wish to know the physical location of the encoded protein product.  How would you obtain such information?
this is what i have said about this image so far, what else can be said aswell including the raw count column. "   Interpreting the results of an RNA-Seq analysis is pivotal in understanding the underlying genetic mechanisms of diseases such as breast cancer. In this analysis, Figure 1 provides comprehensive data on differentially expressed genes associated with breast cancer. By delving into the provided information, we can gain valuable insights into the molecular landscape of this disease. First focus is on the gene with the highest fold change, EYA4, situated on chromosome 6. With a staggering fold change of 3604.4176, EYA4 exhibits an unprecedented level of overexpression in cancerous cells compared to normal cells. This profound alteration suggests a pivotal role for EYA4 in breast cancer pathogenesis. The log2 fold change of 11.81555 further emphasizes the magnitude of this difference in gene expression. Statistical significance is evident, with an exceptionally low p-value of…

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Genetics: From Genes to Genomes

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