Evidence map›Paper›PMID 33412093›Full record

ReviewNeuron2021

Single-Cell Sequencing of Brain Cell Transcriptomes and Epigenomes.

Ethan J Armand, Junhao Li, Fangming Xie, Chongyuan Luo, Eran A Mukamel

Open access · bronzeAbstract readReview
In one paragraph

Review in Neuron, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 1 pooled it
18.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

143 citing papers in PubMed, 1 synthesis or guideline pooled it, 251 citations in OpenAlex.

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83 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Ethan J ArmandDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA 92037, USA.
Junhao LiDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA 92037, USA.
Fangming XieDepartment of Physics, University of California, San Diego, La Jolla, CA 92037, USA.
Chongyuan LuoDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Eran A MukamelDepartment of Cognitive Science, University of California, San Diego, La Jolla, CA 92037, USA. Electronic address: emukamel@ucsd.edu.
University of California San Diego · USUniversity of California, Los Angeles · US

Funding

Single Neuron Analyzer for Multi-modal, Cross-dataset (Epi)genomic Cell Type DatasetsRF1MH120015 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MUKAMEL, ERAN A · 2019 to 2019
$1.2M
3/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric diseaseR01MH122592 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MUKAMEL, ERAN A · 2023 to 2024
$251k
NIMH NIH HHS R01 MH122592NIMH NIH HHS RF1 MH120015
6 · The paper itself

Abstract

Single-cell sequencing technologies, including transcriptomic and epigenomic assays, are transforming our understanding of the cellular building blocks of neural circuits. By directly measuring multiple molecular signatures in thousands to millions of individual cells, single-cell sequencing methods can comprehensively characterize the diversity of brain cell types. These measurements uncover gene regulatory mechanisms that shape cellular identity and provide insight into developmental and evolutionary relationships between brain cell populations. Single-cell sequencing data can aid the design of tools for targeted functional studies of brain circuit components, linking molecular signatures with anatomy, connectivity, morphology, and physiology. Here, we discuss the fundamental principles of single-cell transcriptome and epigenome sequencing, integrative computational analysis of the data, and key applications in neuroscience.

Indexed as

BrainDNA MethylationEpigenomeEpigenomicsHumansSequence Analysis, DNASequence Analysis, RNASingle-Cell AnalysisTranscriptomeATAC-seqcell statecell typeDNA methylationepigenomemulti-omicsopen chromatinsingle-cell sequencingspatial transcriptomicstranscriptome

Identifiers

PMID33412093
PMCPMC7808568
OpenAlexW3119521568

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.