Evidence map›Paper›PMID 39149316›Full record

ArticlebioRxiv : the preprint server for biology2024

Scalable spatial single-cell transcriptomics and translatomics in 3D thick tissue blocks.

Xin Sui, Jennifer A Lo, Shuchen Luo, Yichun He, Zefang Tang, Zuwan Lin, Yiming Zhou, Wendy Xueyi Wang, Jia Liu, Xiao Wang

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Xin SuiDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-7286-9448
Jennifer A LoBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-9520-6874
Shuchen LuoDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-8754-1413
Yichun HeBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-9573-2682
Zefang TangDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-5264-9560
Zuwan LinBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-5786-9768
Yiming ZhouDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-8365-0396
Wendy Xueyi WangDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-6472-1075
Jia LiuJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0003-2217-6982
Xiao WangDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-3090-9894

Funding

BRAIN CONNECTS: Comprehensive Regional Projection Map of Marmoset with Single Axon and Cell Type ResolutionUM1NS132173 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Guoping Feng, PARTHA Pratim MITRA · 2023 to 2026
$11.6M
DERMATOLOGY TRAINING GRANTT32AR007098 · NIAMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI THOMAS S. KUPPER · 1986 to 2026
$8.1M
Charting human islet maturation via combined soft nanoelectronics and single-cell spatial transcriptomicsDP1DK130673 · NIDDK · HARVARD UNIVERSITY · PI LIU, JIA · 2021 to 2025
$4.3M
Single-cell in situ analysis of RNA modifications in intact tissuesDP2GM146245 · NIGMS · BROAD INSTITUTE, INC. · PI WANG, XIAO · 2021 to 2024
$2.4M
NIAMS NIH HHS T32 AR007098NIDDK NIH HHS DP1 DK130673NIGMS NIH HHS DP2 GM146245NINDS NIH HHS UM1 NS132173
6 · The paper itself

Abstract

Characterizing the transcriptional and translational gene expression patterns at the single-cell level within their three-dimensional (3D) tissue context is essential for revealing how genes shape tissue structure and function in health and disease. However, most existing spatial profiling techniques are limited to 5-20 μm thin tissue sections. Here, we developed Deep-STARmap and Deep-RIBOmap, which enable 3D

Identifiers

PMID39149316
PMCPMC11326170

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.