ArticleJournal of the American Chemical Society2018
Enzymatic Assemblies Disrupt the Membrane and Target Endoplasmic Reticulum for Selective Cancer Cell Death.
Article in Journal of the American Chemical Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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
62 citing papers in PubMed, 227 citations in OpenAlex.
- Evaluating Alkaline Phosphatase-Instructed Self-Assembly of d‑Peptide Diesters for Selectively Inhibiting Immunosuppressive Cancer Cells.ACS omega · 2026Article
- Harnessing Self-Assembling Peptides on γδ T Cells to Enhance Anti-Tumor Immunity.Polymer science & technology (Washington, D.C.) · 2026Article
- Self-Assembled Nanomaterials for ER-Targeted Cancer Therapy: From Molecular Design to Therapeutic Applications.Biomacromolecules · 2026Review
- Cryo-Structural Insights into Enzymatic Peptide Self-Assembly Driving Extrinsic Lytic Cell Death.Journal of the American Chemical Society · 2026Article
- Biomimetic peptide self-assembly: interfacing with biomacromolecules to regulate cellular signaling.Experimental & molecular medicine · 2026Review
- Targeting Subcellular Organelles in Breast Cancer with Enzyme Induced Self-Assembly: Stimulated Response with Eyes-Absence Enzymes (EYA).Molecular pharmaceutics · 2025Article
- Recent Advances and Future Prospects in Biological-Membrane-Targeted Polymers.Polymer science & technology (Washington, D.C.) · 2025Review
- Intrinsically Disordered Peptide Nanofibers from a Structured Motif Within Proteins.Angewandte Chemie (International ed. in English) · 2025Article
- Enzyme-Instructed Self-Assembly Reprograms Fatty Acid Metabolism for Cancer Therapeutics.Advanced healthcare materials · 2025Article
- Acute and sub-acute toxicity study of aqueous and methanol root extract ofToxicology reports · 2024Article
- Enzyme-Directed and Organelle-Specific Sphere-to-Fiber Nanotransformation Enhances Photodynamic Therapy in Cancer Cells.Small methods · 2024Article
- Cell-Free Nonequilibrium Assembly for Hierarchical Protein/Peptide Nanopillars.Journal of the American Chemical Society · 2024Article
- Smart Molecular Imaging and Theranostic Probes by Enzymatic Molecular In Situ Self-Assembly.JACS Au · 2024Review
- Enzymatic control of intermolecular interactions for generating synthetic nanoarchitectures in cellular environment.Science and technology of advanced materials · 2024Review
- Enzyme-Instructed Intracellular Peptide Assemblies.Accounts of chemical research · 2023Article
- Peptide Assemblies for Cancer Therapy.ChemMedChem · 2023Review
- AnChemical science · 2023Article
- Peptide Supramolecular Assembly-Instructed In Situ Self-Aggregation for Stratified Targeting Sonodynamic Therapy Enhancement of AIE Luminogens.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Self-assembling peptides-based nano-cargos for targeted chemotherapy and immunotherapy of tumors: recent developments, challenges, and future perspectives.Drug delivery · 2022Review
- Enzyme-instructed morphology transformation of mitochondria-targeting peptide for the selective eradication of osteosarcoma.RSC chemical biology · 2022Article
2 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
7 authors at 2 institutions in 2 countries.
Funding
Abstract
The endoplasmic reticulum (ER) is responsible for the synthesis and folding of a large number of proteins, as well as intracellular calcium regulation, lipid synthesis, and lipid transfer to other organelles, and is emerging as a target for cancer therapy. However, strategies for selectively targeting the ER of cancer cells are limited. Here we show that enzymatically generated crescent-shaped supramolecular assemblies of short peptides disrupt cell membranes and target ER for selective cancer cell death. As revealed by sedimentation assay, the assemblies interact with synthetic lipid membranes. Live cell imaging confirms that the assemblies impair membrane integrity, which is further supported by lactate dehydrogenase (LDH) assays. According to transmission electron microscopy (TEM), static light scattering (SLS), and critical micelle concentration (CMC), attaching an l-amino acid at the C-terminal of a d-tripeptide results in the crescent-shaped supramolecular assemblies. Structure-activity relationship suggests that the crescent-shaped morphology is critical for interacting with membranes and for controlling cell fate. Moreover, fluorescent imaging indicates that the assemblies accumulate on the ER. Time-dependent Western blot and ELISA indicate that the accumulation causes ER stress and subsequently activates the caspase signaling cascade for cell death. As an approach for in situ generating membrane binding scaffolds (i.e., the crescent-shaped supramolecular assemblies), this work promises a new way to disrupt the membrane and to target the ER for developing anticancer therapeutics.
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.