Evidence map›Paper›PMID 30923225›Full record

ArticleScience (New York, N.Y.)2019

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution.

Samuel G Rodriques, Robert R Stickels, Aleksandrina Goeva, Carly A Martin, Evan Murray, Charles R Vanderburg, Joshua Welch, Linlin M Chen, Fei Chen, Evan Z Macosko

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,445 papers.

0numbers the graph read from it
0cells of the map it votes in
1,445citing papers in PubMed
–field-weighted citation impact
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

1,445 citing papers in PubMed.

  1. Review
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  4. Article
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  6. Article
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  9. Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Artificial intelligence virtual bone organoids (AIVBOs).Journal of orthopaedic translation · 2026
    Review
  20. Article

1,385 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Samuel G RodriquesDepartment of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-2509-0861
Robert R StickelsBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.ORCID 0000-0003-4326-4084
Aleksandrina GoevaBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.ORCID 0000-0001-9425-6573
Carly A MartinBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.ORCID 0000-0002-8191-4968
Evan MurrayBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Charles R VanderburgBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.ORCID 0000-0001-8979-5054
Joshua WelchBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Linlin M ChenBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.ORCID 0000-0003-2401-2420
Fei ChenBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA. chenf@broadinstitute.org emacosko@broadinstitute.org.ORCID 0000-0003-2308-3649
Evan Z MacoskoBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA. chenf@broadinstitute.org emacosko@broadinstitute.org.ORCID 0000-0002-2794-5165

Funding

COVID19 Slide-seqR01HG010647 · NHGRI · BROAD INSTITUTE, INC. · PI Fei Chen, Evan Z Macosko · 2019 to 2026
$6.0M
Slide-seq: high-resolution in situ expression profiling for neuropathologyDP2AG058488 · NIA · BROAD INSTITUTE, INC. · PI MACOSKO, EVAN Z · 2017 to 2017
$2.7M
Characterizing glioma heterogeneity with novel multiplexed nanoscale imaging technologiesDP5OD024583 · OD · BROAD INSTITUTE, INC. · PI CHEN, FEI · 2017 to 2021
$2.2M
Implementation of Slide-seq for high-resolution, whole-transcriptome human tissue maps.UH3CA246632 · NCI · BROAD INSTITUTE, INC. · PI MACOSKO, EVAN Z · 2019 to 2021
$1.9M
In situ ATAC-seq, a novel technology for structural epigenomicsR21HG009749 · NHGRI · BROAD INSTITUTE, INC. · PI BUENROSTRO, JASON DANIEL, CHEN, FEI · 2017 to 2018
$708k
NCI NIH HHS UH3 CA246632NHGRI NIH HHS R01 HG010647NHGRI NIH HHS R21 HG009749NIA NIH HHS DP2 AG058488NIH HHS DP5 OD024583
6 · The paper itself

Abstract

Spatial positions of cells in tissues strongly influence function, yet a high-throughput, genome-wide readout of gene expression with cellular resolution is lacking. We developed Slide-seq, a method for transferring RNA from tissue sections onto a surface covered in DNA-barcoded beads with known positions, allowing the locations of the RNA to be inferred by sequencing. Using Slide-seq, we localized cell types identified by single-cell RNA sequencing datasets within the cerebellum and hippocampus, characterized spatial gene expression patterns in the Purkinje layer of mouse cerebellum, and defined the temporal evolution of cell type-specific responses in a mouse model of traumatic brain injury. These studies highlight how Slide-seq provides a scalable method for obtaining spatially resolved gene expression data at resolutions comparable to the sizes of individual cells.

Indexed as

AnimalsBrain Injuries, TraumaticCell SizeCerebellumDisease Models, AnimalFrozen SectionsGene Expression RegulationGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHippocampusMicePurkinje CellsRNA, MessengerSequence Analysis, RNASingle-Cell AnalysisTranscription, GeneticRNA, Messenger

Identifiers

PMID30923225
PMCPMC6927209

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.