Searched for: Department/Unit:Neuroscience Institute
Probabilistic approaches to uncover rat hippocampal population codes
Chapter by: Chen, Zhe; Kloosterman, F; Wilson, MA
in: Advanced state space methods for neural and clinical data by Chen, Zhe (Ed)
[S.l.] : Cambridge University Press, 2015
pp. 186-206
ISBN: 9781316355213
CID: 3633732
Introduction
Chapter by: Chen, Zhe
in: Advanced state space methods for neural and clinical data by Chen, Zhe (Ed)
[S.l.] : Cambridge University Press, 2015
pp. 1-
ISBN: 9781316355213
CID: 3633722
A dynamic point process framework for assessing heartbeat dynamics and cardiovascular functions
Chapter by: Chen, Zhe; Barbieri, R
in: Advanced state space methods for neural and clinical data by Chen, Zhe (Ed)
[S.l.] : Cambridge University Press, 2015
pp. 302-329
ISBN: 9781316355213
CID: 3633742
Advanced state space methods for neural and clinical data
Chen, Zhe
[S.l.] : Cambridge University Press, 2015
Extent: xxii, 374 p. ; 26 cm
ISBN: 9781316355213
CID: 3631382
Neurocognitive Impairment in EcoHIV-infected Mice Correlates with Diffuse Dendritic Damage and Defective Neuronal Function in the Hippocampus without Neuronal Apoptosis: A Model for Study of Mild HAND [Meeting Abstract]
Kelschenbach, Jennifer; Borjabad, Alejandra; Kim, Boe-Hyun; Gu, Chao-Jiang; He, Hongxia; Aaron, Ksenia; Sharer, Leroy R.; Arancio, Ottavio; Polsky, Bruce; Potash, Mary Jane; Volsky, David J.
ISI:000367826400074
ISSN: 1355-0284
CID: 3531562
Chimeric HIV Infected Mice Carry Latent-inducible HIV in T cells, Active HIV in Macrophages and Develop Neurocognitive Disease [Meeting Abstract]
Gu, Chao-Jiang; Borjabad, Alejandra; Hadas, Eran; Chao, Wei; Arancio, Ottavio; Suh, Jin; Polsky, Bruce; Potash, Mary Jane; Volsky, David J.
ISI:000367826400056
ISSN: 1355-0284
CID: 3531552
Cell lineage analysis in human brain using endogenous retroelements
Evrony, Gilad D; Lee, Eunjung; Mehta, Bhaven K; Benjamini, Yuval; Johnson, Robert M; Cai, Xuyu; Yang, Lixing; Haseley, Psalm; Lehmann, Hillel S; Park, Peter J; Walsh, Christopher A
Somatic mutations occur during brain development and are increasingly implicated as a cause of neurogenetic disease. However, the patterns in which somatic mutations distribute in the human brain are unknown. We used high-coverage whole-genome sequencing of single neurons from a normal individual to identify spontaneous somatic mutations as clonal marks to track cell lineages in human brain. Somatic mutation analyses in >30 locations throughout the nervous system identified multiple lineages and sublineages of cells marked by different LINE-1 (L1) retrotransposition events and subsequent mutation of poly-A microsatellites within L1. One clone contained thousands of cells limited to the left middle frontal gyrus, whereas a second distinct clone contained millions of cells distributed over the entire left hemisphere. These patterns mirror known somatic mutation disorders of brain development and suggest that focally distributed mutations are also prevalent in normal brains. Single-cell analysis of somatic mutation enables tracing of cell lineage clones in human brain.
PMID: 25569347
ISSN: 1097-4199
CID: 3332522
Somatic mutation in single human neurons tracks developmental and transcriptional history
Lodato, Michael A; Woodworth, Mollie B; Lee, Semin; Evrony, Gilad D; Mehta, Bhaven K; Karger, Amir; Lee, Soohyun; Chittenden, Thomas W; D'Gama, Alissa M; Cai, Xuyu; Luquette, Lovelace J; Lee, Eunjung; Park, Peter J; Walsh, Christopher A
Neurons live for decades in a postmitotic state, their genomes susceptible to DNA damage. Here we survey the landscape of somatic single-nucleotide variants (SNVs) in the human brain. We identified thousands of somatic SNVs by single-cell sequencing of 36 neurons from the cerebral cortex of three normal individuals. Unlike germline and cancer SNVs, which are often caused by errors in DNA replication, neuronal mutations appear to reflect damage during active transcription. Somatic mutations create nested lineage trees, allowing them to be dated relative to developmental landmarks and revealing a polyclonal architecture of the human cerebral cortex. Thus, somatic mutations in the brain represent a durable and ongoing record of neuronal life history, from development through postmitotic function.
PMID: 26430121
ISSN: 1095-9203
CID: 3332552
Loss of PCLO function underlies pontocerebellar hypoplasia type III
Ahmed, Mustafa Y; Chioza, Barry A; Rajab, Anna; Schmitz-Abe, Klaus; Al-Khayat, Aisha; Al-Turki, Saeed; Baple, Emma L; Patton, Michael A; Al-Memar, Ali Y; Hurles, Matthew E; Partlow, Jennifer N; Hill, R Sean; Evrony, Gilad D; Servattalab, Sarah; Markianos, Kyriacos; Walsh, Christopher A; Crosby, Andrew H; Mochida, Ganeshwaran H
OBJECTIVE:To identify the genetic cause of pontocerebellar hypoplasia type III (PCH3). METHODS:We studied the original reported pedigree of PCH3 and performed genetic analysis including genome-wide single nucleotide polymorphism genotyping, linkage analysis, whole-exome sequencing, and Sanger sequencing. Human fetal brain RNA sequencing data were then analyzed for the identified candidate gene. RESULTS:The affected individuals presented with severe global developmental delay and seizures starting in the first year of life. Brain MRI of an affected individual showed diffuse atrophy of the cerebrum, cerebellum, and brainstem. Genome-wide single nucleotide polymorphism analysis confirmed the linkage to chromosome 7q we previously reported, and showed no other genomic areas of linkage. Whole-exome sequencing of 2 affected individuals identified a shared homozygous, nonsense variant in the PCLO (piccolo) gene. This variant segregated with the disease phenotype in the pedigree was rare in the population and was predicted to eliminate the PDZ and C2 domains in the C-terminus of the protein. RNA sequencing data of human fetal brain showed that PCLO was moderately expressed in the developing cerebral cortex. CONCLUSIONS:Here, we show that a homozygous, nonsense PCLO mutation underlies the autosomal recessive neurodegenerative disorder, PCH3. PCLO is a component of the presynaptic cytoskeletal matrix, and is thought to be involved in regulation of presynaptic proteins and synaptic vesicles. Our findings suggest that PCLO is crucial for the development and survival of a wide range of neuronal types in the human brain.
PMID: 25832664
ISSN: 1526-632x
CID: 3332542
Single-cell, genome-wide sequencing identifies clonal somatic copy-number variation in the human brain
Cai, Xuyu; Evrony, Gilad D; Lehmann, Hillel S; Elhosary, Princess C; Mehta, Bhaven K; Poduri, Annapurna; Walsh, Christopher A
PMID: 25832109
ISSN: 2211-1247
CID: 3332532