ReviewBiochimica et biophysica acta2013
Methodologies to decipher the cell secretome.
Review in Biochimica et biophysica acta, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 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
46 citing papers in PubMed, 111 citations in OpenAlex.
- Method standardization of secretome production, collection, and characterization: New insights and challenges.Regenerative therapy · 2025Review
- A nanoplasmonic cell-on-a-chip for in situ monitoring of PD-L1Biosensors & bioelectronics · 2025Article
- Proliferation and metabolic activity of the Atlantic sturgeon cell line AOXlar7y under short-term serum-reduced conditions, and the effect of stimulation with growth factors and cytokines.Frontiers in toxicology · 2025Article
- Article
- Methods to Investigate the Secretome of Senescent Cells.Methods and protocols · 2024Review
- Integrating bioprinting, cell therapies and drug delivery towards in vivo regeneration of cartilage, bone and osteochondral tissue.Drug delivery and translational research · 2024Review
- In silico identification of drug targets and vaccine candidates against Bartonella quintana: a subtractive proteomics approach.Memorias do Instituto Oswaldo Cruz · 2024Article
- An Introduction to Analytical Challenges, Approaches, and Applications in Mass Spectrometry-Based Secretomics.Molecular & cellular proteomics : MCP · 2023Review
- Modulation of cellular transcriptome and proteome composition by azidohomoalanine-implications on click chemistry-based secretome analysis.Journal of molecular medicine (Berlin, Germany) · 2023Article
- Cancer secretome: finding out hidden messages in extracellular secretions.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Review
- Article
- Interval-Based Secretomics Unravels Acute-Phase Response in Hepatocyte Model Systems.Molecular & cellular proteomics : MCP · 2022Article
- Label-Free Quantitative Proteomics to Explore the Action Mechanism of the Pharmaceutical-GradeMolecules (Basel, Switzerland) · 2022Article
- Proteomics approaches: A review regarding an importance of proteome analyses in understanding the pathogens and diseases.Frontiers in veterinary science · 2022Review
- Secretomics-A Key to a Comprehensive Picture of Unconventional Protein Secretion.Frontiers in cell and developmental biology · 2022Article
- NGAL as a Potential Target in Tumor Microenvironment.International journal of molecular sciences · 2021Review
- Article
- Tumor Secretome to Adoptive Cellular Immunotherapy: Reduce Me Before I Make You My Partner.Frontiers in immunology · 2021Review
- Emergence of the Stem Cell Secretome in Regenerative Engineering.Trends in biotechnology · 2020Review
- Localized Cell-Surface Sampling of a Secreted Factor Using Cell-Targeting Beads.Analytical chemistry · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The cell secretome is a collection of proteins consisting of transmembrane proteins (TM) and proteins secreted by cells into the extracellular space. A significant portion (~13-20%) of the human proteome consists of secretory proteins. The secretory proteins play important roles in cell migration, cell signaling and communication. There is a plethora of methodologies available like Serial Analysis of Gene Expression (SAGE), DNA microarrays, antibody arrays and bead-based arrays, mass spectrometry, RNA sequencing and yeast, bacterial and mammalian secretion traps to identify the cell secretomes. There are many advantages and disadvantages in using any of the above methods. This review aims to discuss the methodologies available along with their potential advantages and disadvantages to identify secretory proteins. This review is a part of a Special issue on The Secretome. This article is part of a Special Issue entitled: An Updated Secretome.
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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.