Evidence map›Paper›PMID 38177242›Full record

ArticleCell research2024

Decoding the spatiotemporal regulation of transcription factors during human spinal cord development.

Yingchao Shi, Luwei Huang, Hao Dong, Meng Yang, Wenyu Ding, Xiang Zhou, Tian Lu, Zeyuan Liu, Xin Zhou, Mengdi Wang and 8 more

Abstract read
In one paragraph

Article in Cell research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  10. bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Yingchao Shi *Guangdong Institute of Intelligence Science and Technology, Guangdong, China. shiyingchao@gdiist.cn.
Luwei Huang *State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Hao Dong *State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Meng Yang *Changping Laboratory, Beijing, China.
Wenyu DingState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, New Cornerstone Science Laboratory, Beijing Normal University, Beijing, China.
Xiang ZhouState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Tian LuState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Zeyuan LiuChangping Laboratory, Beijing, China.
Xin ZhouChangping Laboratory, Beijing, China.
Mengdi WangState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Bo ZengChangping Laboratory, Beijing, China.
Yinuo SunChangping Laboratory, Beijing, China.
Suijuan ZhongChangping Laboratory, Beijing, China.
Bosong WangState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, New Cornerstone Science Laboratory, Beijing Normal University, Beijing, China.
Wei WangState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Chonghai YinChangping Laboratory, Beijing, China.
Xiaoqun WangState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. xiaoqunwang@bnu.edu.cn.ORCID 0000-0003-3440-2617
Qian WuChangping Laboratory, Beijing, China. qianwu@bnu.edu.cn.ORCID 0000-0002-7469-1583

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32122037National Natural Science Foundation of China (National Science Foundation of China) 81891001
6 · The paper itself

Abstract

The spinal cord is a crucial component of the central nervous system that facilitates sensory processing and motor performance. Despite its importance, the spatiotemporal codes underlying human spinal cord development have remained elusive. In this study, we have introduced an image-based single-cell transcription factor (TF) expression decoding spatial transcriptome method (TF-seqFISH) to investigate the spatial expression and regulation of TFs during human spinal cord development. By combining spatial transcriptomic data from TF-seqFISH and single-cell RNA-sequencing data, we uncovered the spatial distribution of neural progenitor cells characterized by combinatorial TFs along the dorsoventral axis, as well as the molecular and spatial features governing neuronal generation, migration, and differentiation along the mediolateral axis. Notably, we observed a sandwich-like organization of excitatory and inhibitory interneurons transiently appearing in the dorsal horns of the developing human spinal cord. In addition, we integrated data from 10× Visium to identify early and late waves of neurogenesis in the dorsal horn, revealing the formation of laminas in the dorsal horns. Our study also illuminated the spatial differences and molecular cues underlying motor neuron (MN) diversification, and the enrichment of Amyotrophic Lateral Sclerosis (ALS) risk genes in MNs and microglia. Interestingly, we detected disease-associated microglia (DAM)-like microglia groups in the developing human spinal cord, which are predicted to be vulnerable to ALS and engaged in the TYROBP causal network and response to unfolded proteins. These findings provide spatiotemporal transcriptomic resources on the developing human spinal cord and potential strategies for spinal cord injury repair and ALS treatment.

Indexed as

Amyotrophic Lateral SclerosisTranscription FactorsAnimalsCentral Nervous SystemHumansNeurogenesisTranscription Factors

Identifiers

PMID38177242
PMCPMC10907391

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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.