Evidence map›Paper›PMID 21267068›Full record

ArticlePLoS biology2011

A high-resolution anatomical atlas of the transcriptome in the mouse embryo.

Graciana Diez-Roux, Sandro Banfi, Marc Sultan, Lars Geffers, Santosh Anand, David Rozado, Alon Magen, Elena Canidio, Massimiliano Pagani, Ivana Peluso and 58 more

Abstract read
In one paragraph

Article in PLoS biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 384 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
384citing papers in PubMed, 1 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

384 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Metabolic Plasticity in Embryogenesis Throughout the Lens of NADMethods in molecular biology (Clifton, N.J.) · 2026
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  15. TheBiomolecules · 2025
    Review
  16. Article
  17. Cell-Type-Specific Splicing of Transcription Regulators andThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  18. Article
  19. Review
  20. Review

324 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

68 authors.

Graciana Diez-RouxTelethon Institute of Genetics and Medicine, Naples, Italy.
Sandro Banfi
Marc Sultan
Lars Geffers
Santosh Anand
David Rozado
Alon Magen
Elena Canidio
Massimiliano Pagani
Ivana Peluso
Nathalie Lin-Marq
Muriel Koch
Marchesa Bilio
Immacolata Cantiello
Roberta Verde
Cristian De Masi
Salvatore A Bianchi
Juliette Cicchini
Elodie Perroud
Shprese Mehmeti
Emilie Dagand
Sabine Schrinner
Asja Nürnberger
Katja Schmidt
Katja Metz
Christina Zwingmann
Norbert Brieske
Cindy Springer
Ana Martinez Hernandez
Sarah Herzog
Frauke Grabbe
Cornelia Sieverding
Barbara Fischer
Kathrin Schrader
Maren Brockmeyer
Sarah Dettmer
Christin Helbig
Violaine Alunni
Marie-Annick Battaini
Carole Mura
Charlotte N Henrichsen
Raquel Garcia-Lopez
Diego Echevarria
Eduardo Puelles
Elena Garcia-Calero
Stefan Kruse
Markus Uhr
Christine Kauck
Guangjie Feng
Nestor Milyaev
Chuang Kee Ong
Lalit Kumar
MeiSze Lam
Colin A Semple
Attila Gyenesei
Stefan Mundlos
Uwe Radelof
Hans Lehrach
Paolo Sarmientos
Alexandre Reymond
Duncan R Davidson
Pascal Dollé
Stylianos E Antonarakis
Marie-Laure Yaspo
Salvador Martinez
Richard A Baldock
Gregor Eichele
Andrea Ballabio

Funding

Medical Research Council MC_U127527203Telethon TGM11S03
6 · The paper itself

Abstract

Ascertaining when and where genes are expressed is of crucial importance to understanding or predicting the physiological role of genes and proteins and how they interact to form the complex networks that underlie organ development and function. It is, therefore, crucial to determine on a genome-wide level, the spatio-temporal gene expression profiles at cellular resolution. This information is provided by colorimetric RNA in situ hybridization that can elucidate expression of genes in their native context and does so at cellular resolution. We generated what is to our knowledge the first genome-wide transcriptome atlas by RNA in situ hybridization of an entire mammalian organism, the developing mouse at embryonic day 14.5. This digital transcriptome atlas, the Eurexpress atlas (http://www.eurexpress.org), consists of a searchable database of annotated images that can be interactively viewed. We generated anatomy-based expression profiles for over 18,000 coding genes and over 400 microRNAs. We identified 1,002 tissue-specific genes that are a source of novel tissue-specific markers for 37 different anatomical structures. The quality and the resolution of the data revealed novel molecular domains for several developing structures, such as the telencephalon, a novel organization for the hypothalamus, and insight on the Wnt network involved in renal epithelial differentiation during kidney development. The digital transcriptome atlas is a powerful resource to determine co-expression of genes, to identify cell populations and lineages, and to identify functional associations between genes relevant to development and disease.

Indexed as

Databases, GeneticGene Expression ProfilingAnimalsAtlases as TopicEmbryo, MammalianInternetMiceMice, Inbred C57BLOrgan Specificity

Identifiers

PMID21267068
PMCPMC3022534

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.