by Leighton J. Core, Joshua J. Waterfall, and John T. Lis

Slides:



Advertisements
Similar presentations
Date of download: 6/21/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Epigenetic Signatures of Autism: Trimethylated H3K4.
Advertisements

Functional Elements in the Human Genome
Pol II Docking and Pausing at Growth and Stress Genes in C. elegans
Volume 5, Issue 3, Pages (November 2013)
by Leighton J. Core, Joshua J. Waterfall, and John T. Lis
Dynamic epigenetic enhancer signatures reveal key transcription factors associated with monocytic differentiation states by Thu-Hang Pham, Christopher.
Figure 1. (A) Number of 8-oxodGs per million of dGs (8-oxodg/106 dG) measured by LC-MS/MS in untreated (NT), UV-irradiated (UV) and NAC-treated.
Grounded: Transcriptional Pausing in Naive mESCs
Volume 66, Issue 4, Pages e3 (May 2017)
Volume 2, Issue 1, Pages (July 2012)
High-Resolution Profiling of Histone Methylations in the Human Genome
Taichi Umeyama, Takashi Ito  Cell Reports 
Volume 44, Issue 3, Pages (November 2011)
RNA Exosome Depletion Reveals Transcription Upstream of Active Human Promoters by Pascal Preker, Jesper Nielsen, Susanne Kammler, Søren Lykke-Andersen,
SAGA Is a General Cofactor for RNA Polymerase II Transcription
Volume 146, Issue 6, Pages (September 2011)
N6-Methyladenosines Modulate A-to-I RNA Editing
by Varun Narendra, Pedro P. Rocha, Disi An, Ramya Raviram, Jane A
Volume 17, Issue 6, Pages (December 2015)
The Ground State and Evolution of Promoter Region Directionality
Adrien Le Thomas, Georgi K. Marinov, Alexei A. Aravin  Cell Reports 
Nuclear Fractionation Reveals Thousands of Chromatin-Tethered Noncoding RNAs Adjacent to Active Genes  Michael S. Werner, Alexander J. Ruthenburg  Cell.
Volume 50, Issue 6, Pages (June 2013)
The Antisense Transcriptomes of Human Cells
Volume 133, Issue 3, Pages (May 2008)
Nuclear Fractionation Reveals Thousands of Chromatin-Tethered Noncoding RNAs Adjacent to Active Genes  Michael S. Werner, Alexander J. Ruthenburg  Cell.
Volume 66, Issue 4, Pages e3 (May 2017)
High-Resolution Profiling of Histone Methylations in the Human Genome
Volume 32, Issue 6, Pages (March 2015)
Fine-Resolution Mapping of TF Binding and Chromatin Interactions
Volume 150, Issue 5, Pages (August 2012)
Fine-Resolution Mapping of TF Binding and Chromatin Interactions
Volume 66, Issue 1, Pages e6 (April 2017)
Volume 42, Issue 6, Pages (June 2011)
Volume 44, Issue 3, Pages (November 2011)
Human Promoters Are Intrinsically Directional
Comparison of gene expression maps from available S
Pol II Docking and Pausing at Growth and Stress Genes in C. elegans
Volume 72, Issue 2, Pages e5 (October 2018)
Evolution of Alu Elements toward Enhancers
Volume 151, Issue 7, Pages (December 2012)
Volume 132, Issue 2, Pages (January 2008)
Volume 5, Issue 4, Pages (November 2013)
E.J. Hollox, J.A.L. Armour, J.C.K. Barber 
Panoramix enforces piRNA-dependent cotranscriptional silencing
Volume 50, Issue 2, Pages (April 2013)
Volume 21, Issue 9, Pages (November 2017)
Volume 66, Issue 4, Pages e4 (May 2017)
Andreas H. Ehrensberger, Gavin P. Kelly, Jesper Q. Svejstrup  Cell 
Core promoter methylation in mediators of adipogenesis.
Gene Density, Transcription, and Insulators Contribute to the Partition of the Drosophila Genome into Physical Domains  Chunhui Hou, Li Li, Zhaohui S.
Volume 7, Issue 2, Pages (August 2010)
Polycomb Responds to Low Levels of Transcription
Volume 9, Issue 3, Pages (November 2014)
The nuclear RNA degradation landscape of mESCs.
Volume 19, Issue 1, Pages (July 2005)
Divergent Transcription from Active Promoters
Volume 1, Issue 3, Pages (September 2007)
ChIP-seq for H3K4me and H3K27ac assigns potential enhancers to transcripts under control of HoxA9. ChIP-seq for H3K4me and H3K27ac assigns potential enhancers.
Fig. 2 Dynamics of H3K4me3 in human early development.
Taichi Umeyama, Takashi Ito  Cell Reports 
Manfred Schmid, Agnieszka Tudek, Torben Heick Jensen  Cell Reports 
Defining the Status of RNA Polymerase at Promoters
Rahul Karnik, Alexander Meissner  Cell Stem Cell 
The 3D Genome in Transcriptional Regulation and Pluripotency
Volume 11, Issue 7, Pages (May 2015)
Volume 26, Issue 11, Pages e3 (March 2019)
BRD4 expression and genomic distribution in B-CLL.
Integrated analysis of gene expression and copy number alterations.
Fig. 2 Combined transcriptome profiling, ChIP-seq, and ATAC-seq analysis identifies 14 highly plausible direct targets of Runx. Combined transcriptome.
Presentation transcript:

by Leighton J. Core, Joshua J. Waterfall, and John T. Lis Nascent RNA Sequencing Reveals Widespread Pausing and Divergent Initiation at Human Promoters by Leighton J. Core, Joshua J. Waterfall, and John T. Lis Science Volume 322(5909):1845-1848 December 19, 2008 American Association for the Advancement of Science

Fig. 1. Sample of GRO-seq data view on the University of California at Santa Cruz (UCSC) genome browser. Sample of GRO-seq data view on the University of California at Santa Cruz (UCSC) genome browser. A 2.5-Mb region on chromosome 5 showing GRO-seq reads aligned to the genome at 1-bp resolution, followed by an up-close view around the NPM1 gene. Pol II ChIP results (3) are shown in green; mappable regions, black; GRO-seq reads on the plus strand (left to right), red; GRO-seq reads on the minus strand (right to left), light blue; RefSeq gene annotations, dark blue. Leighton J. Core et al. Science 2008;322:1845-1848 American Association for the Advancement of Science

Fig. 2. Alignment of GRO-seq reads to TSSs and 3′ ends. Alignment of GRO-seq reads to TSSs and 3′ ends. (A) GRO-seq reads aligned to Ref-seq TSSs in 10-bp windows in both sense (red) and antisense (blue) directions relative to the direction of gene transcription. (B) GRO-seq reads flanking the 3′ ends of genes. The sharp peak coincides with the new 5′ end created after cleavage at the poly-A site. Polymerase density extends considerably downstream before termination. Leighton J. Core et al. Science 2008;322:1845-1848 American Association for the Advancement of Science

Fig. 3. Comparison of pausing with gene activity. Comparison of pausing with gene activity. Four classes of genes are found when comparing genes with a paused polymerase and transcription activity either by microarray or GRO-seq density in the downstream portions of genes. An example of each class is shown, with tracks shown in the UCSC genome browser as in Fig. 1. The gene names, pausing index, and P value, from top to bottom, respectively, are as follows: TRIO, 1.1, 0.62; FUS, 41, 2.8 × 10–43; IZUMO1, 410, 7.6 × 10–3; and GALP (which has no reads and therefore no pausing index). The number of genes represented in each class is shown to the right. Leighton J. Core et al. Science 2008;322:1845-1848 American Association for the Advancement of Science

Fig. 4. Correlation of promoter-proximal transcription patterns with gene activity. Correlation of promoter-proximal transcription patterns with gene activity. (A to D) Box plots (each showing the fifth, 25th, 50th, 75th, and 95th percentiles) that show the relationship of promoter-proximal (PP) sense peaks (red), divergent peaks (DP) (blue), pausing indices (green), and PP/DP ratios (orange) to the top, middle, and bottom deciles of gene activity. All deciles are significantly different from each other: P < 10–9 for all comparisons except between the lowest and the middle deciles in (D) (P < 10–3). (E) ChIP profiles of Pol II and GRO-seq sense (S) and antisense (AS) strand reads aligned to TSSs. (F) ChIP profiles of H3ac and H3K4me2 and GRO-seq aligned to TSSs. Leighton J. Core et al. Science 2008;322:1845-1848 American Association for the Advancement of Science