The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Spatially Resolved Single-cell Translatomics at Molecular Resolution
Open accessPreprint — published as 10.1126/science.add3067
Abstract
The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation of cellular physiology. However, it remains a major challenge to systematically study mRNA translation at the transcriptomic scale with spatial and single-cell resolutions. Here, we report the development of RIBOmap, a three-dimensional (3D) in situ profiling method to detect mRNA translation for thousands of genes simultaneously in intact cells and tissues. By applying RIBOmap to 981 genes in HeLa cells, we revealed remarkable dependency of translation on cell-cycle stages and subcellular localization. Furthermore, we profiled single-cell translatomes of 5,413 genes in the adult mouse brain tissue with a spatial cell atlas of 62,753 cells. This spatial translatome profiling detected widespread patterns of localized translation in neuronal and glial cells in intact brain tissue networks. Together, RIBOmap presents the first spatially resolved single-cell translatomics technology, accelerating our understanding of protein synthesis in the context of subcellular architecture, cell types, and tissue anatomy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
Molecular diversity and specializations among the cells of the adult mouse brain
Saunders, A., Macosko, E. Z., Wysoker, A., Goldman, M., Krienen, F. M., de Rivera, H., Bien, E., Baum, M., Bortolin, L., Wang, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.028 · Cited by 1,531
A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation
Yao, Z., van Velthoven, C. T. J., Nguyen, T. N., Goldy, J., Sedeno-Cortes, A. E., Baftizadeh, F., Bertagnolli, D., Casper, T., Chiang, M., Crichton, K., et al. (2021) · Cell · doi:10.1016/j.cell.2021.04.021 · Cited by 1,065
Flagged first, then by citations
Research works printed but not linked: 40
- 2021, The emerging landscape of single-molecule protein sequencing technologies, Nat. Methods, 18, 604, 10.1038/s41592-021-01143-1 · DOI
- 10.1016/j.febslet.2009.10.036 · DOI · Paper page
- 10.1039/B908315D · DOI · Paper page
- 10.1038/nrg3185 · DOI · Paper page
- 10.1038/s41580-021-00356-8 · DOI
- 10.1126/science.1168978 · DOI · Paper page
- 10.1126/science.1257521 · DOI
- 10.1126/science.1257522 · DOI · Paper page
- 10.1038/s41586-021-03887-4 · DOI
- 10.1016/j.cell.2016.02.066 · DOI
- 10.1016/j.cell.2016.03.014 · DOI · Paper page
- 10.1126/science.aaa3380 · DOI
- 10.1126/science.aaf1084 · DOI
- 10.1126/science.aaf0899 · DOI
- 10.1016/j.cell.2016.04.034 · DOI
- 10.1016/j.cell.2019.05.001 · DOI
- 10.7554/eLife.10415 · DOI
- 2015, Direct visualization of newly synthesized target proteins in situ, Nature Methods, 12, 411, 10.1038/nmeth.3319 · DOI
- 10.1126/science.aat5691 · DOI · Paper page
- 10.1126/science.aad0501 · DOI · Paper page
- 10.1016/J.CELL.2019.05.027 · DOI
- 10.1038/nature12730 · DOI · Paper page
- 2017, YTHDF3 facilitates translation and decay of N6-methyladenosine-modified RNA, Cell Res, 27, 315, 10.1038/cr.2017.15 · DOI · Paper page
- 10.1016/j.cell.2007.12.033 · DOI
- 10.1242/jcs.195164 · DOI
- 10.1038/s41586-021-03232-9 · DOI
- 10.1038/nrm.2016.132 · DOI
- 10.1016/j.cell.2018.06.021 · DOI · Paper page
- 10.1038/s41586-018-0590-4 · DOI · Paper page
- 10.1038/s41586-020-2496-1 · DOI · Paper page
- 10.1016/j.cell.2018.05.012 · DOI · Paper page
- 10.1038/s41586-019-0969-x · DOI · Paper page
- 10.1038/nature05453 · DOI · Paper page
- 10.1038/s41593-020-00785-2 · DOI · Paper page
- 10.1126/science.aay4991 · DOI
- 10.1073/pnas.2113929118 · DOI
- 2021, mRNA Transport and Local Translation in Glia, Trends Cell Biol, 31, 419, 10.1016/j.tcb.2021.03.006 · DOI
- 10.1073/pnas.1617782114 · DOI · Paper page
- 10.3389/fncel.2013.00169 · DOI
- 2021, ClusterMap for multi-scale clustering analysis of spatial gene expression, Nat. Commun, 12, 5909, 10.1038/s41467-021-26044-x · DOI
Metadata
- Authors
- Zeng, H., Huang, J., Ren, J., Wang, C. K., Tang, Z., Zhou, Y., Aditham, A., Shi, H., Sui, X., & Wang, X.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Zeng, Hu
- Huang, Jiahao
- Ren, Jingyi
- Wang, Xiao
- ORCID
- Venue
- Science
- Publisher
- openRxiv
- Published
- 2022-09-28
- Volume
- 380
- Issue
- 6652
- Pages
- eadd3067-eadd3067
- ISSN
- 0036-8075 (ISSN-L)
- PMC
- PMC11146668
- OpenAlex
- W4382520315
- Cited by
- 198
- References
- 3
- Citations by year
- 2026: 51 · 2025: 60 · 2024: 71 · 2023: 16
- FWCI
- 17.59
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Science (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Helen Hay Whitney Foundation
- Harvard University
- Broad Institute
- Searle Scholars Program
- Zhejiang University
- Peking University
- National Institutes of Health (NIH DP2)
- National Institute of General Medical Sciences (DP2GM146245)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (T32AR007098)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- mRNA translation, translatome, post-transcriptional regulation, oligodendrocyte maturation, HeLa cells, mouse brain
- MeSH terms
- Single-Cell Gene Expression Analysis, Animals, Brain, Chromosome Mapping, Gene Expression Regulation, HeLa Cells, Humans, Neuroglia, Neurons, RNA, Messenger, Protein Biosynthesis, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review