Cell Lineage Analysis in Human Brain Using Endogenous Retroelements

Slides:



Advertisements
Similar presentations
A Robust Network of Double-Strand Break Repair Pathways Governs Genome Integrity during C. elegans Development  Daphne B. Pontier, Marcel Tijsterman 
Advertisements

Davide Nardo, Valerio Santangelo, Emiliano Macaluso  Neuron 
A Targeted High-Throughput Next-Generation Sequencing Panel for Clinical Screening of Mutations, Gene Amplifications, and Fusions in Solid Tumors  Rajyalakshmi.
Alternative Computational Analysis Shows No Evidence for Nucleosome Enrichment at Repetitive Sequences in Mammalian Spermatozoa  Hélène Royo, Michael Beda.
Single-Color Digital PCR Provides High-Performance Detection of Cancer Mutations from Circulating DNA  Christina Wood-Bouwens, Billy T. Lau, Christine.
A Method to Evaluate the Quality of Clinical Gene-Panel Sequencing Data for Single- Nucleotide Variant Detection  Chung Lee, Joon S. Bae, Gyu H. Ryu, Nayoung.
Volume 153, Issue 4, Pages (May 2013)
Hendrikus J. Dubbink, Peggy N. Atmodimedjo, Ronald van Marion, Niels M
Robustness of Amplicon Deep Sequencing Underlines Its Utility in Clinical Applications  Vera Grossmann, Andreas Roller, Hans-Ulrich Klein, Sandra Weissmann,
A Source for Feature-Based Attention in the Prefrontal Cortex
Volume 74, Issue 11, Pages (December 2008)
Jianbin Wang, H. Christina Fan, Barry Behr, Stephen R. Quake  Cell 
Application of Single-Molecule Amplification and Resequencing Technology for Broad Surveillance of Plasma Mutations in Patients with Advanced Lung Adenocarcinoma 
Signal, Noise, and Variation in Neural and Sensory-Motor Latency
Application of Single-Molecule Amplification and Resequencing Technology for Broad Surveillance of Plasma Mutations in Patients with Advanced Lung Adenocarcinoma 
Volume 8, Issue 5, Pages (September 2014)
Volume 70, Issue 5, Pages (June 2011)
Molecular Diagnosis of Autosomal Dominant Polycystic Kidney Disease Using Next- Generation Sequencing  Adrian Y. Tan, Alber Michaeel, Genyan Liu, Olivier.
Copy Number Variation Sequencing for Comprehensive Diagnosis of Chromosome Disease Syndromes  Desheng Liang, Ying Peng, Weigang Lv, Linbei Deng, Yanghui.
A Comprehensive Strategy for Accurate Mutation Detection of the Highly Homologous PMS2  Jianli Li, Hongzheng Dai, Yanming Feng, Jia Tang, Stella Chen,
DNA Diagnostics by Surface-Bound Melt-Curve Reactions
Coding of the Reach Vector in Parietal Area 5d
Mismatch Receptive Fields in Mouse Visual Cortex
Volume 146, Issue 6, Pages (September 2011)
Eric Samorodnitsky, Jharna Datta, Benjamin M
The Fine-Scale and Complex Architecture of Human Copy-Number Variation
N6-Methyladenosines Modulate A-to-I RNA Editing
Volume 9, Issue 4, Pages (October 2011)
Volume 81, Issue 6, Pages (March 2014)
Michael J. Metzger, Carol Reinisch, James Sherry, Stephen P. Goff  Cell 
Inducing Gamma Oscillations and Precise Spike Synchrony by Operant Conditioning via Brain-Machine Interface  Ben Engelhard, Nofar Ozeri, Zvi Israel, Hagai.
Volume 65, Issue 1, Pages (January 2017)
CA3 Retrieves Coherent Representations from Degraded Input: Direct Evidence for CA3 Pattern Completion and Dentate Gyrus Pattern Separation  Joshua P.
Target-Specific Precision of CRISPR-Mediated Genome Editing
Volume 70, Issue 5, Pages (June 2011)
Gamma and the Coordination of Spiking Activity in Early Visual Cortex
Volume 133, Issue 3, Pages (May 2008)
New Experiences Enhance Coordinated Neural Activity in the Hippocampus
Jianing Yu, David Ferster  Neuron 
Volume 149, Issue 7, Pages (June 2012)
Hippocampal “Time Cells”: Time versus Path Integration
Huihui Zhou, Robert Desimone  Neuron 
Joseph Rodriguez, Jerome S. Menet, Michael Rosbash  Molecular Cell 
Volume 45, Issue 4, Pages (February 2005)
Volume 74, Issue 1, Pages (April 2012)
Anubhuti Goel, Dean V. Buonomano  Neuron 
Neural Correlates of Reaching Decisions in Dorsal Premotor Cortex: Specification of Multiple Direction Choices and Final Selection of Action  Paul Cisek,
Volume 81, Issue 5, Pages (March 2014)
Volume 87, Issue 2, Pages (July 2015)
Georg B. Keller, Tobias Bonhoeffer, Mark Hübener  Neuron 
Volume 10, Issue 5, Pages (May 2012)
Sharon C. Furtak, Omar J. Ahmed, Rebecca D. Burwell  Neuron 
Beth Elliott, Christine Richardson, Maria Jasin  Molecular Cell 
Receptive-Field Modification in Rat Visual Cortex Induced by Paired Visual Stimulation and Single-Cell Spiking  C. Daniel Meliza, Yang Dan  Neuron  Volume.
Volume 26, Issue 5, Pages (March 2016)
A DNA Replication Mechanism for Generating Nonrecurrent Rearrangements Associated with Genomic Disorders  Jennifer A. Lee, Claudia M.B. Carvalho, James.
Javier A. Couto, Matthew P. Vivero, Harry P. W. Kozakewich, Amir H
Volume 25, Issue 6, Pages (November 2018)
Gilad A. Jacobson, Peter Rupprecht, Rainer W. Friedrich 
Complete Haplotype Sequence of the Human Immunoglobulin Heavy-Chain Variable, Diversity, and Joining Genes and Characterization of Allelic and Copy-Number.
Volume 88, Issue 5, Pages (December 2015)
Gene Density, Transcription, and Insulators Contribute to the Partition of the Drosophila Genome into Physical Domains  Chunhui Hou, Li Li, Zhaohui S.
Volume 58, Issue 1, Pages (April 2008)
Orientation Selectivity Sharpens Motion Detection in Drosophila
Volume 41, Issue 2, Pages (January 2011)
Anubhuti Goel, Dean V. Buonomano  Neuron 
Volume 95, Issue 5, Pages e4 (August 2017)
Volume 21, Issue 23, Pages (December 2011)
Volume 18, Issue 5, Pages (May 2016)
Exon Skipping in IVD RNA Processing in Isovaleric Acidemia Caused by Point Mutations in the Coding Region of the IVD Gene  Jerry Vockley, Peter K. Rogan,
Presentation transcript:

Cell Lineage Analysis in Human Brain Using Endogenous Retroelements Gilad D. Evrony, Eunjung Lee, Bhaven K. Mehta, Yuval Benjamini, Robert M. Johnson, Xuyu Cai, Lixing Yang, Psalm Haseley, Hillel S. Lehmann, Peter J. Park, Christopher A. Walsh  Neuron  Volume 85, Issue 1, Pages 49-59 (January 2015) DOI: 10.1016/j.neuron.2014.12.028 Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 1 Single-Neuron WGS Genome Coverage (A) Percentage of genome covered at specified read depths for all samples in this study. (B) Representative genome-wide coverage plot of single neuron #18 in ∼500 kb bins, with enlargement of chromosome 3 in which L1#2 was identified (Figure 2). See Figure S5 for plots of all samples. Right panel zoom of a 5 kb region (chr3: 147,605,344–147,610,345, hg19) shows single-neuron WGS simultaneous detection of three types of germline mutations, all concordant with 100-neuron and bulk samples: single nucleotide variants (SNVs, colored bars represent ratios of allele reads), a deletion (578 bp AluY and additional flanking sequence), and an SVA retrotransposon insertion. All mutations have been previously identified in public polymorphism databases. (C) Average read depth of retrotransposon insertions annotated in the human genome reference and their 500 bp flanks, relative to the genome-wide average read depth. Relative read depths correlate with average GC content of each retrotransposon family (L1Hs: 42%; AluY: 54%; SVA: 63% GC content), due to GC amplification bias of MDA (see Table S2 and Note S1). See also Figures S1–S9 and Tables S1 and S2. Neuron 2015 85, 49-59DOI: (10.1016/j.neuron.2014.12.028) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 2 Single-Neuron WGS Analysis Identifies Somatic Retrotransposon Insertions (A) Average number of germline nonreference insertions (i.e., present in either bulk cortex or heart) detected per sample with an scTea-calculated score ≥ 9 (see Supplemental Experimental Procedures for details on score calculation). Error bars, SD. The number of known insertions (reported in public databases and prior population studies of retrotransposon polymorphism) are shaded in a darker color. (B) Score distribution of all AluY, L1Hs, and SVA germline known nonreference insertions (upper panel, n = 13,849 insertions) and somatic calls (lower panel, i.e., calls absent in bulk heart) detected across all 16 single neurons. Dashed line indicates score threshold ≥ 9 used to call somatic candidates, with bars below threshold drawn in a lighter color. Note the distribution of known insertions at higher scores compared to somatic calls at lower scores that arise from low-level MDA chimeras below threshold. (C) Whole-genome sequencing reads detecting L1#1. Main panel shows fully aligned reads whose pairs aligned to L1, with darker and lighter colors indicating plus and minus orientations, respectively. Smaller panels on right show partially aligned (breakpoint) reads spanning the insertion breakpoint, detecting the TSD and poly-A tail. Mismatched bases relative to the human genome reference are colored. (D) Whole-genome sequencing reads detecting L1#2. A few partially aligned reads distant from the insertion site are chimeras. (E) Schematic of L1#2 and its source L1. (F) Full-length PCR validation and cloning of L1#2. (G) Representative gel from a 3′ PCR screen for L1#2 in single neurons. See also Figures S10–S12 and Table S3. Neuron 2015 85, 49-59DOI: (10.1016/j.neuron.2014.12.028) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 3 Mosaicism of Somatic L1 Insertions Measured by ddPCR (A) Representative ddPCR plots of L1#1 and L1#2. L1+ droplets are plotted with larger points for better visualization. Reduced L1 signal in double-positive versus single-positive droplets is due to relatively higher PCR efficiency of RNaseP amplicons. (B) Mosaicism levels measured in individual UMB1465, plotted on a representative brain, using logarithmic box plots to indicate level of mosaicism. Empty rectangles indicate no detection. Blue shading indicates the estimated distribution of L1#1 in the middle frontal gyrus. The 16 WGS single neurons were originally obtained from location D (underlined). (C) Lucida tracings of cortex sections 2, 3, and 4 in which L1#1 was found, traced from photographs of sections. Dashed lines indicate regions that were not present in photographs of sections due to sampling prior to this study. Anatomy of these regions was extrapolated based on records of sampled locations, adjacent sections, photographs of right hemisphere formalin-fixed sections, and atlases of normal brain anatomy. Locations in which L1#1 was detected are highlighted in blue. See Figure S14 for diagrams of all sampled brain sections. See also Figures S13–S15 and Table S4. Neuron 2015 85, 49-59DOI: (10.1016/j.neuron.2014.12.028) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 4 Somatic Retrotransposon Insertion Poly-A Tail Polymorphism Reveals Sublineages across Brain Regions (A) L1#1 3′ PCR products differ in size between single neurons 2 and 77. (B) Sanger sequencing of L1#1 in single neurons 2 and 77 reveals poly-A tail polymorphism. (C) Brief schematic of dnPCR single-copy cloning of poly-A tails directly from unamplified bulk DNA, and a representative gel showing highly polymorphic product sizes. Poly-A tail lengths were precisely measured by capillary electrophoresis. (D) L1#1 poly-A tail size distributions (in 3 bp bins) obtained by dnPCR show peaks representing sublineages and marked variability within and between locations. Dashed lines mark poly-A tail sizes of single neurons 2 and 77 sorted from location D. Location I not shown, since, due to extremely low mosaicism, only four poly-A tails were cloned. See also Figures S16–S19 and Table S5. Neuron 2015 85, 49-59DOI: (10.1016/j.neuron.2014.12.028) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 5 Developmental Model of Mutation Events and Lineages in This Study L1#1 is illustrated as occurring in the first trimester, though its exact timing is unknown. MFG, middle frontal gyrus; VZ, ventricular zone; SVZ, subventricular zone; ISVZ, inner SVZ; OSVZ, outer SVZ; IZ, intermediate zone; CP, cortical plate; MZ, marginal zone. Neuron 2015 85, 49-59DOI: (10.1016/j.neuron.2014.12.028) Copyright © 2015 Elsevier Inc. Terms and Conditions