ArticleScientific reports2023
Spatial subcellular organelle networks in single cells.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Harnessing nature's blueprint: Unlocking the potential of subcellular structure membrane-coated nanosystems for precision medicine.Bioactive materials · 2026Review
- Decoding noncoding RNAs in regulating cardiovascular aging and age-related conditions: the emerging landscape.Science China. Life sciences · 2026Review
- Single-Cell Nucleus Extraction with Cellular Indexing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Imaging Cellular Metabolic Rewiring with SuMMIT-SRS.bioRxiv : the preprint server for biology · 2025Article
- Modular, open-sourced multiplexing for democratizing spatial omics.Lab on a chip · 2025Article
- Non-uniform impact of extracellular osmotic variations at subcellular level.Cell death discovery · 2025Article
- Advancements in understanding tumor-resident bacteria and their application in cancer therapy.Military Medical Research · 2025Review
- High cell throughput, programmable fixation reveals the RNA and protein co-regulation with spatially resolved NFκB pseudo-signaling.APL bioengineering · 2024Article
- Tumoroids, a valid preclinical screening platform for monitoring cancer angiogenesis.Stem cell research & therapy · 2024Review
- Recent Advancements in Subcellular Proteomics: Growing Impact of Organellar Protein Niches on the Understanding of Cell Biology.Journal of proteome research · 2024Review
- Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine.Military Medical Research · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
Organelles play important roles in human health and disease, such as maintaining homeostasis, regulating growth and aging, and generating energy. Organelle diversity in cells not only exists between cell types but also between individual cells. Therefore, studying the distribution of organelles at the single-cell level is important to understand cellular function. Mesenchymal stem cells are multipotent cells that have been explored as a therapeutic method for treating a variety of diseases. Studying how organelles are structured in these cells can answer questions about their characteristics and potential. Herein, rapid multiplexed immunofluorescence (RapMIF) was performed to understand the spatial organization of 10 organelle proteins and the interactions between them in the bone marrow (BM) and umbilical cord (UC) mesenchymal stem cells (MSCs). Spatial correlations, colocalization, clustering, statistical tests, texture, and morphological analyses were conducted at the single cell level, shedding light onto the interrelations between the organelles and comparisons of the two MSC subtypes. Such analytics toolsets indicated that UC MSCs exhibited higher organelle expression and spatially spread distribution of mitochondria accompanied by several other organelles compared to BM MSCs. This data-driven single-cell approach provided by rapid subcellular proteomic imaging enables personalized stem cell therapeutics.
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Registered trials
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.