Engram-specific transcriptome profiling of contextual memory consolidation DOI Creative Commons
Priyanka Rao‐Ruiz, Jonathan J. Couey, Ivo M. Marcelo

и другие.

Nature Communications, Год журнала: 2019, Номер 10(1)

Опубликована: Май 20, 2019

Abstract Sparse populations of neurons in the dentate gyrus (DG) hippocampus are causally implicated encoding contextual fear memories. However, engram-specific molecular mechanisms underlying memory consolidation remain largely unknown. Here we perform unbiased RNA sequencing DG engram 24 h after conditioning to identify transcriptome changes specific consolidation. exhibit a highly distinct pattern gene expression, which CREB-dependent transcription features prominently ( P = 6.2 × 10 −13 ), including Atf3 2.4 −41 Penk 1.3 −15 and Kcnq3 3.1 −12 ). Moreover, validate functional relevance RNAseq findings by establishing causal requirement intact CREB function specifically within during consolidation, novel group target genes involved long-term memory.

Язык: Английский

Confronting false discoveries in single-cell differential expression DOI Creative Commons
Jordan W. Squair, Matthieu Gautier, Claudia Kathe

и другие.

Nature Communications, Год журнала: 2021, Номер 12(1)

Опубликована: Сен. 28, 2021

Differential expression analysis in single-cell transcriptomics enables the dissection of cell-type-specific responses to perturbations such as disease, trauma, or experimental manipulations. While many statistical methods are available identify differentially expressed genes, principles that distinguish these and their performance remain unclear. Here, we show relative is contingent on ability account for variation between biological replicates. Methods ignore this inevitable biased prone false discoveries. Indeed, most widely used can discover hundreds genes absence differences. To exemplify principles, exposed true discoveries injured mouse spinal cord.

Язык: Английский

Процитировано

629

Generation of Functional Human 3D Cortico-Motor Assembloids DOI Creative Commons
Jimena Andersen, Omer Revah, Yuki Miura

и другие.

Cell, Год журнала: 2020, Номер 183(7), С. 1913 - 1929.e26

Опубликована: Дек. 1, 2020

Язык: Английский

Процитировано

414

Neuronal atlas of the dorsal horn defines its architecture and links sensory input to transcriptional cell types DOI
Martin Häring, Amit Zeisel, Hannah Hochgerner

и другие.

Nature Neuroscience, Год журнала: 2018, Номер 21(6), С. 869 - 880

Опубликована: Апрель 20, 2018

Язык: Английский

Процитировано

400

Single cell transcriptomics reveals spatial and temporal dynamics of gene expression in the developing mouse spinal cord DOI Creative Commons

Julien Delile,

Teresa Rayón, Manuela Melchionda

и другие.

Development, Год журнала: 2019, Номер 146(12)

Опубликована: Март 7, 2019

The coordinated spatial and temporal regulation of gene expression in the vertebrate neural tube determines identity progenitors function physiology neurons they generate. Progress has been made deciphering regulatory programmes that are responsible for this process; however, complexity tissue hampered systematic analysis network underlying mechanisms. To address this, we used single cell mRNA sequencing to profile cervical thoracic regions developing mouse between embryonic days 9.5-13.5. We confirmed data accurately recapitulates development, allowing us identify new markers specific progenitor neuronal populations. In addition, highlighted a previously underappreciated component mechanisms generate diversity, revealed common features sequence transcriptional events lead differentiation subtypes. Together, offer insight into specification provide compendium classifying spinal cord types will support future studies disease.

Язык: Английский

Процитировано

339

Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson’s disease DOI
Julien Bryois, Nathan Skene, Thomas Hansen

и другие.

Nature Genetics, Год журнала: 2020, Номер 52(5), С. 482 - 493

Опубликована: Апрель 27, 2020

Язык: Английский

Процитировано

298

What is a cell type and how to define it? DOI Creative Commons
Hongkui Zeng

Cell, Год журнала: 2022, Номер 185(15), С. 2739 - 2755

Опубликована: Июль 1, 2022

Язык: Английский

Процитировано

294

Establishing neuronal diversity in the spinal cord: a time and a place DOI Creative Commons
Andreas Sagner, James Briscoe

Development, Год журнала: 2019, Номер 146(22)

Опубликована: Ноя. 15, 2019

ABSTRACT The vertebrate spinal cord comprises multiple functionally distinct neuronal cell types arranged in characteristic positions. During development, these different of neurons differentiate from transcriptionally neural progenitors that are arrayed discrete domains along the dorsal-ventral and anterior-posterior axes embryonic cord. This organization arises response to morphogen gradients acting upstream a gene regulatory network, architecture which determines spatial temporal pattern expression. In recent years, substantial progress has been made deciphering network underlies specification progenitor identities. this Review, we outline how identities established patterning systems, novel experimental approaches study emergence function diversity

Язык: Английский

Процитировано

267

Single-cell transcriptomic analysis of mouse neocortical development DOI Creative Commons
Lipin Loo, Jeremy M. Simon, Lei Xing

и другие.

Nature Communications, Год журнала: 2019, Номер 10(1)

Опубликована: Янв. 7, 2019

Abstract The development of the mammalian cerebral cortex depends on careful orchestration proliferation, maturation, and migration events, ultimately giving rise to a wide variety neuronal non-neuronal cell types. To better understand cellular molecular processes that unfold during late corticogenesis, we perform single-cell RNA-seq mouse at progenitor driven phase (embryonic day 14.5) birth—after neurons from all six cortical layers are born. We identify numerous classes neurons, progenitors, glia, their proliferative, migratory, activation states, relatedness within across age. Using cell-type-specific expression patterns genes mutated in neurological psychiatric diseases, putative disease subtypes associate with clinical phenotypes. Our study reveals template complex neurodevelopmental process, provides window into origins brain diseases.

Язык: Английский

Процитировано

249

Single-cell analysis of the cellular heterogeneity and interactions in the injured mouse spinal cord DOI Creative Commons
Lindsay M. Milich, James S. Choi, Christine B. Ryan

и другие.

The Journal of Experimental Medicine, Год журнала: 2021, Номер 218(8)

Опубликована: Июнь 16, 2021

The wound healing process that occurs after spinal cord injury is critical for maintaining tissue homeostasis and limiting damage, but eventually results in a scar-like environment not conducive to regeneration repair. A better understanding of this dichotomy developing effective therapeutics target the appropriate pathobiology, major challenge has been large cellular heterogeneity immensely complex interactions. In study, we used single-cell RNA sequencing assess virtually all cell types comprise mouse site. addition discovering novel subpopulations, expression values receptor–ligand pairs identify signaling pathways are predicted regulate specific interactions during angiogenesis, gliosis, fibrosis. Our dataset valuable resource provides mechanistic insight into pathobiology only also other traumatic disorders CNS.

Язык: Английский

Процитировано

196

Integration of eQTL and a Single-Cell Atlas in the Human Eye Identifies Causal Genes for Age-Related Macular Degeneration DOI Creative Commons
Luz D. Orozco,

Hsu-Hsin Chen,

Christian L. Cox

и другие.

Cell Reports, Год журнала: 2020, Номер 30(4), С. 1246 - 1259.e6

Опубликована: Янв. 1, 2020

Age-related macular degeneration (AMD) is a leading cause of vision loss. To better understand disease pathogenesis and identify causal genes in GWAS loci for AMD risk, we present comprehensive database human retina retinal pigment epithelium (RPE). Our comprises non-macular RNA sequencing (RNA-seq) profiles from 129 donors, genome-wide expression quantitative trait (eQTL) dataset that includes macula-specific RPE/choroid, single-nucleus RNA-seq (NucSeq) RPE with subtype resolution more than 100,000 cells. Using NucSeq, find enriched candidate We 15 putative on the basis co-localization genetic association signals risk eye eQTL, including TSPAN10 TRPM1. These results demonstrate value our elucidating pathways potential therapeutic targets ocular diseases.

Язык: Английский

Процитировано

191