A robust toolkit for functional profiling of the yeast genome.

نویسندگان

  • Xuewen Pan
  • Daniel S Yuan
  • Dong Xiang
  • Xiaoling Wang
  • Sharon Sookhai-Mahadeo
  • Joel S Bader
  • Philip Hieter
  • Forrest Spencer
  • Jef D Boeke
چکیده

Study of mutant phenotypes is a fundamental method for understanding gene function. The construction of a near-complete collection of yeast knockouts (YKO) and the unique molecular barcodes (or TAGs) that identify each strain has enabled quantitative functional profiling of Saccharomyces cerevisiae. By using these TAGs and the SGA reporter, MFA1pr-HIS3, which facilitates conversion of heterozygous diploid YKO strains into haploid mutants, we have developed a set of highly efficient microarray-based techniques, collectively referred as dSLAM (diploid-based synthetic lethality analysis on microarrays), to probe genome-wide gene-chemical and gene-gene interactions. Direct comparison revealed that these techniques are more robust than existing methods in functional profiling of the yeast genome. Widespread application of these tools will elucidate a comprehensive yeast genetic network.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

I-44: Concurrent Whole-Genome Haplotyping and Copy-Number Profiling of Single Cells

Background Methods for haplotyping and DNA copynumber typing of single cells are paramount for studying genomic heterogeneity and enabling genetic diagnosis. Before analyzing the DNA of a single cell by microarray or next-generation sequencing, a whole-genome amplification (WGA) process is required, but it substantially distorts the frequency and composition of the cell’s alleles. As a conseque...

متن کامل

O-38: Concurrent Whole-Genome Haplotyping and Copy-Number Profiling of Single Cells

Background Methods for haplotyping and DNA copynumber typing of single cells are paramount for studying genomic heterogeneity and enabling genetic diagnosis. Before analyzing the DNA of a single cell by microarray or next-generation sequencing, a whole-genome amplification (WGA) process is required, but it substantially distorts the frequency and composition of the cell’s alleles. As a conseque...

متن کامل

Quantitative phenotyping via deep barcode sequencing.

Next-generation DNA sequencing technologies have revolutionized diverse genomics applications, including de novo genome sequencing, SNP detection, chromatin immunoprecipitation, and transcriptome analysis. Here we apply deep sequencing to genome-scale fitness profiling to evaluate yeast strain collections in parallel. This method, Barcode analysis by Sequencing, or "Bar-seq," outperforms the cu...

متن کامل

Functional Investigation of the Novel BRCA1variant (Glu1661Gly) byComputationalTools andYeastTranscription Activation Assay

Introduction: Mutations in the BRCA1 gene are major risk factors for breast and ovarian cancers. However, the relationship between some BRCA1 mutations and cancer risk remains largely unknown. Cancer risk predictions could be improved by evaluation of the impairment degree in the BRCA1 functions due to a specific mutation. This study aimed to assess the functional effect of a novel variant (Glu...

متن کامل

Functional Investigation of the Novel BRCA1variant (Glu1661Gly) byComputationalTools andYeastTranscription Activation Assay

Introduction: Mutations in the BRCA1 gene are major risk factors for breast and ovarian cancers. However, the relationship between some BRCA1 mutations and cancer risk remains largely unknown. Cancer risk predictions could be improved by evaluation of the impairment degree in the BRCA1 functions due to a specific mutation. This study aimed to assess the functional effect of a novel variant (Glu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Molecular cell

دوره 16 3  شماره 

صفحات  -

تاریخ انتشار 2004