Evidence map›Paper›PMID 36192637›Full record

ReviewNature biotechnology2023

The expanding vistas of spatial transcriptomics.

Luyi Tian, Fei Chen, Evan Z Macosko

Abstract readReview
In one paragraph

Review in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 326 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
326citing papers in PubMed, 2 pooled it
–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

326 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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266 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

3 authors.

Luyi TianBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Fei ChenBroad Institute of Harvard and MIT, Cambridge, MA, USA. chenf@broadinstitute.org.ORCID http://orcid.org/0000-0003-2308-3649
Evan Z MacoskoBroad Institute of Harvard and MIT, Cambridge, MA, USA. emacosko@broadinstitute.org.ORCID http://orcid.org/0000-0002-2794-5165

Funding

COVID19 Slide-seqR01HG010647 · NHGRI · BROAD INSTITUTE, INC. · PI Fei Chen, Evan Z Macosko · 2019 to 2026
$6.0M
A cellular atlas of the primate and human basal gangliaU01MH124602 · NIMH · BROAD INSTITUTE, INC. · PI CHEN, FEI, FISHELL, GORDON J · 2021 to 2023
$5.0M
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
IMAT-ITCR Collaboration: An integrated experimental and computational platform for analyzing the spatial organization of tumor clonesR33CA246455 · NCI · BROAD INSTITUTE, INC. · PI ASHENBERG, ORR, CHEN, FEI · 2020 to 2022
$1.4M
NCI NIH HHS R33 CA246455NCI NIH HHS UH3 CA246632NHGRI NIH HHS R01 HG010647NIMH NIH HHS U01 MH124602
6 · The paper itself

Abstract

The formation and maintenance of tissue integrity requires complex, coordinated activities by thousands of genes and their encoded products. Until recently, transcript levels could only be quantified for a few genes in tissues, but advances in DNA sequencing, oligonucleotide synthesis and fluorescence microscopy have enabled the invention of a suite of spatial transcriptomics technologies capable of measuring the expression of many, or all, genes in situ. These technologies have evolved rapidly in sensitivity, multiplexing and throughput. As such, they have enabled the determination of the cell-type architecture of tissues, the querying of cell-cell interactions and the monitoring of molecular interactions between tissue components. The rapidly evolving spatial genomics landscape will enable generalized high-throughput genomic measurements and perturbations to be performed in the context of tissues. These advances will empower hypothesis generation and biological discovery and bridge the worlds of tissue biology and genomics.

Indexed as

Gene Expression ProfilingTranscriptomeGenomicsSequence Analysis, DNA

Identifiers

PMID36192637
PMCPMC10091579

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.