ArticleNature communications2023
Single-cell spatial metabolomics with cell-type specific protein profiling for tissue systems biology.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 2 of them syntheses that pooled 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.
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
103 citing papers in PubMed, 2 syntheses or guidelines pooled it, 122 citations in OpenAlex.
- Deep representation learning for temporal inference in cancer omics: a systematic literature review.Briefings in bioinformatics · 2026Pooled it
- Driving innovations in cancer research through spatial metabolomics: a bibliometric review of trends and hotspot.Frontiers in immunology · 2025Pooled it
- Cancer-derived lactic acid as a potential upstream contributor to tumor hypoxia.Communications biology · 2026Review
- Targeting T follicular helper cells for lifelong health.Nature reviews. Drug discovery · 2026Review
- MALDI mass spectrometry imaging across spatial scales in toxicology: tissue evidence, cellular heterogeneity, and emerging single-cell opportunities.Analytical and bioanalytical chemistry · 2026Review
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Review
- Accurately Predicting Cell Type Abundance from Spatial Histology Image Through HPCell.Interdisciplinary sciences, computational life sciences · 2026Article
- Article
- Understanding adipocyte heterogeneity across species, depot, and disease.Biochemical Society transactions · 2026Review
- Peripheral Mononuclear Cells Metabolomics in Obstructive Sleep Apnea Syndrome (OSAS): An Exploratory Pilot Study of Immunometabolic Signatures.International journal of molecular sciences · 2026Article
- Amino acid homeostasis in the kidney: Physiological roles and pathological dysregulation.Physiological reports · 2026Review
- Multi-Omics-Guided Design and Safety Engineering of Nucleic Acid Therapeutics: From Molecular Perturbation to Predictive Toxicology and Precision Translation.Chemical biology & drug design · 2026Review
- Dissecting human organ development using spatial technologies.Developmental cell · 2026Review
- Integrating host-microbiota metabolic networks: how aromatic amino acids shape immune homeostasis and affect disease progression.Cellular & molecular immunology · 2026Review
- Advances in spatial omics for the analysis of prostate cancer.Analytical and bioanalytical chemistry · 2026Review
- An in vivo platform to jointly monitor cellular and metabolic responses to chemotherapy.bioRxiv : the preprint server for biology · 2026Article
- Immune checkpoint crosstalk between LAG-3 and CD39/CD73 in glioblastoma: dual-pathway regulation of metabolic exhaustion and therapeutic reversal strategies.Journal of the Egyptian National Cancer Institute · 2026Review
- Metab8D: a metabolic regulome network from multiomics and machine learning.Communications biology · 2026Article
- Single-Cell and Spatial Omics: Methods and Applications.MedComm · 2026Review
43 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Metabolic reprogramming in cancer and immune cells occurs to support their increasing energy needs in biological tissues. Here we propose Single Cell Spatially resolved Metabolic (scSpaMet) framework for joint protein-metabolite profiling of single immune and cancer cells in male human tissues by incorporating untargeted spatial metabolomics and targeted multiplexed protein imaging in a single pipeline. We utilized the scSpaMet to profile cell types and spatial metabolomic maps of 19507, 31156, and 8215 single cells in human lung cancer, tonsil, and endometrium tissues, respectively. The scSpaMet analysis revealed cell type-dependent metabolite profiles and local metabolite competition of neighboring single cells in human tissues. Deep learning-based joint embedding revealed unique metabolite states within cell types. Trajectory inference showed metabolic patterns along cell differentiation paths. Here we show scSpaMet's ability to quantify and visualize the cell-type specific and spatially resolved metabolic-protein mapping as an emerging tool for systems-level understanding of tissue biology.
Indexed as
Identifiers
What OpenQuestion holds
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.