Identification of Gene Positioning Factors Using High-Throughput Imaging Mapping
نویسندگان
چکیده
Genomes are arranged non-randomly in the 3D space of the cell nucleus. Here, we have developed HIPMap, a high-precision, high-throughput, automated fluorescent in situ hybridization imaging pipeline, for mapping of the spatial location of genome regions at large scale. High-throughput imaging position mapping (HIPMap) enabled an unbiased siRNA screen for factors involved in genome organization in human cells. We identify 50 cellular factors required for proper positioning of a set of functionally diverse genomic loci. Positioning factors include chromatin remodelers, histone modifiers, and nuclear envelope and pore proteins. Components of the replication and post-replication chromatin re-assembly machinery are prominently represented among positioning factors, and timely progression of cells through replication, but not mitosis, is required for correct gene positioning. Our results establish a method for the large-scale mapping of genome locations and have led to the identification of a compendium of cellular factors involved in spatial genome organization.
منابع مشابه
Mapping of TP53 protein network using cytoscape software
TP53 acts as a tumor suppressor in cancer. It induces cell cycle arrest or apoptosis in response to cellular stress and damage. p53 gene alteration could cause uncontrolled cell proliferation.In the present study, we used TP53 gene as the seed in the construction of a protein-protein functional association network to identify genes that might involve in tumorgenesis process with TP53. TP53 prot...
متن کاملLighting Up Genes in Single Cells at Scale
In this issue, Shachar et al. report a high-throughput imaging position mapping platform (HIPmap) enabling large-scale, high-resolution localization of 3D gene positions in single cells. Coupling loss-of-function screens with HIPmap, the authors identify DNA replication rather than mitosis as a major determinant of genome positioning.
متن کاملRegulatory Motif Discovery: from Decoding to Meta-Analysis
Gene transcription is regulated by interactions between transcription factors and their target binding sites in the genome. A motif is the sequence pattern recognized by a transcription factor to mediate such interactions. With the availability of high-throughput genomic data, computational identification of transcription factor binding motifs has become a major research problem in computationa...
متن کاملHiCTMap: Detection and analysis of chromosome territory structure and position by high-throughput imaging.
The spatial organization of chromosomes in the nuclear space is an extensively studied field that relies on measurements of structural features and 3D positions of chromosomes with high precision and robustness. However, no tools are currently available to image and analyze chromosome territories in a high-throughput format. Here, we have developed High-throughput Chromosome Territory Mapping (...
متن کاملUnsupervised Clustering Analysis of Gene Expression
The availability of whole genome sequence data has facilitated the development of high-throughput technologies for monitoring biological signals on a genomic scale. The revolutionary microarray technology, first introduced in 1995 (Schena et al., 1995), is now one of the most valuable techniques for global gene expression profiling. Other high-throughput genomic technologies, such as Serial Ana...
متن کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Cell
دوره 162 شماره
صفحات -
تاریخ انتشار 2015