Evidence map›Paper›PMID 41028562›Full record

ReviewNature protocols2026

Spatially resolved in situ profiling of mRNA life cycle at transcriptome scale in intact cells and tissues using STARmap PLUS, RIBOmap and TEMPOmap.

Jingyi Ren, Hu Zeng, Jiahao Huang, Jiakun Tian, Morgan Wu, Hailing Shi, Xin Sui, Connie Kangni Wang, Haowen Zhou, Zefang Tang and 2 more

Abstract readReview
In one paragraph

Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Subcellularly Resolved 3D Translatome in Mouse Oocytes and Early Embryos.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Review
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

12 authors.

Jingyi Ren *Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Hu Zeng *Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jiahao Huang *Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jiakun TianDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-1238-780X
Morgan WuBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0009-0007-1300-7315
Hailing ShiDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-7355-378X
Xin SuiDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-7286-9448
Connie Kangni WangDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-9616-5154
Haowen ZhouDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Zefang TangDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-5264-9560
Shuchen LuoDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-8754-1413
Xiao WangDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA. xwangx@mit.edu.ORCID 0000-0002-3090-9894

Funding

Single-cell in situ analysis of RNA modifications in intact tissuesDP2GM146245 · NIGMS · BROAD INSTITUTE, INC. · PI WANG, XIAO · 2021 to 2024
$2.4M
Broad Institute | Stanley Center for Psychiatric Research, Broad Institute (Stanley Center) Stanley center giftNIGMS NIH HHS DP2 GM146245
6 · The paper itself

Abstract

Controlled gene expression programs have a crucial role in shaping cellular functions and activities. At the core of this process lies the RNA life cycle, ensuring protein products are synthesized in the right place at the right time. Here we detail an integrated protocol for imaging-based highly multiplexed in situ profiling of spatial transcriptome using antibody-based protein comapping (STARmap PLUS), spatial translatome mapping (RIBOmap) and spatiotemporal transcriptome mapping (TEMPOmap). These methods selectively convert targeted RNAs, ribosome-bound mRNAs or metabolically labeled RNAs to DNA amplicons with gene-unique barcodes, which are read out through in situ sequencing under a confocal microscope. Compared with other methods, they provide the analytical capacity to track the spatial and temporal dynamics of thousands of RNA species in intact cells and tissues. Our protocol can be readily performed in laboratories experienced in working with RNA and equipped with confocal microscopy instruments. The wet lab experiments in preparing the amplicon library take 2-3 d, followed by variable sequencing times depending on the sample size and target gene number. The spatially resolved single-cell profiles enable downstream analysis, including cell type classification, cell cycle identification and determination of RNA life cycle kinetic parameters through computational analysis guided by the established tutorials. This spatial omics toolkit will help users to better understand spatial and temporal RNA dynamics in heterogeneous cells and tissues.

Indexed as

Gene Expression ProfilingRNA, MessengerTranscriptomeAnimalsHumansMicroscopy, ConfocalSingle-Cell AnalysisRNA, Messenger

Identifiers

PMID41028562
PMCPMC12648639

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Registered trials

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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.