Evidence map›Paper›PMID 29437890›Full record

ReviewThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Brain Transcriptome Databases: A User's Guide.

Jason M Keil, Adel Qalieh, Kenneth Y Kwan

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 90 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Publicly availableFrontiers in neuroscience · 2023
    Review
  14. Article
  15. Article
  16. Imaging Transcriptomics of Brain Disorders.Biological psychiatry global open science · 2022
    Review
  17. Review
  18. Article
  19. Article
  20. Neuron-Specific Deletion ofFrontiers in genetics · 2022
    Article
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

3 authors at 3 institutions in 4 countries.

Jason M KeilMolecular and Behavioral Neuroscience Institute.ORCID 0000-0002-3431-5540
Adel QaliehMolecular and Behavioral Neuroscience Institute.ORCID 0000-0002-0221-7954
Kenneth Y KwanMolecular and Behavioral Neuroscience Institute, kykwan@umich.edu.ORCID 0000-0003-4711-071X
Institute of Molecular Biology · BGNeuroscience Institute · ITUniversity of Michigan · US

Funding

MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
PREDOCTORAL TRAINING IN GENETICST32GM007544 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORAN, JOHN V. · 1985 to 2022
$11.3M
Epigenetic regulation of sequential neurogenesis and neural fate diversityR01NS097525 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KWAN, KENNETH YU-CHUNG · 2016 to 2020
$2.0M
Novel non-cell autonomous mechanisms of callosal dysgenesis in CHARGE syndromeF30MH112328 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KEIL, JASON MICHAEL · 2016 to 2018
$63k
NIGMS NIH HHS T32 GM007544NIGMS NIH HHS T32 GM007863NIMH NIH HHS F30 MH112328NINDS NIH HHS R01 NS097525
6 · The paper itself

Abstract

Transcriptional programs instruct the generation and maintenance of diverse subtypes of neural cells, establishment of distinct brain regions, formation and function of neural circuits, and ultimately behavior. Spatiotemporal and cell type-specific analyses of the transcriptome, the sum total of all RNA transcripts in a cell or an organ, can provide insights into the role of genes in brain development and function, and their potential contribution to disorders of the brain. In the previous decade, advances in sequencing technology and funding from the National Institutes of Health and private foundations for large-scale genomics projects have led to a growing collection of brain transcriptome databases. These valuable resources provide rich and high-quality datasets with spatiotemporal, cell type-specific, and single-cell precision. Most importantly, many of these databases are publicly available via user-friendly web interface, making the information accessible to individual scientists without the need for advanced computational expertise. Here, we highlight key publicly available brain transcriptome databases, summarize the tissue sources and methods used to generate the data, and discuss their utility for neuroscience research.

Indexed as

Databases, GeneticAnimalsBrain ChemistryComputational BiologyGene Expression RegulationHumansTranscriptomedatabaseRNA-seqtranscriptome

Identifiers

PMID29437890
PMCPMC5858588
OpenAlexW2786726944

What OpenQuestion holds

Textmetadata
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.