ReviewMolecular & cellular proteomics : MCP2013
The impact of biosampling procedures on molecular data interpretation.
Review in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed.
- The kinase ERK plays a conserved dominant role in the heterogeneity of epithelial-mesenchymal transition in pancreatic cancer cells.Science signaling · 2025Article
- Tissue Sampling and Homogenization with NIRL Enables Spatially Resolved Cell Layer Specific Proteomic Analysis of the Murine Intestine.International journal of molecular sciences · 2022Article
- Rapid Inactivation of Non-Endospore-Forming Bacterial Pathogens by Heat Stabilization is Compatible with Downstream Next-Generation Sequencing.Applied biosafety : journal of the American Biological Safety Association · 2019Article
- Evaluation of Post-Mortem Effects on Global Brain DNA Methylation and Hydroxymethylation.Basic & clinical pharmacology & toxicology · 2018Article
- Sample handling of gastric tissue and O-glycan alterations in paired gastric cancer and non-tumorigenic tissues.Scientific reports · 2018Article
- Implantation and extravillous trophoblast invasion: From rare archival specimens to modern biobanking.Placenta · 2017Review
- qPCR based mRNA quality score show intact mRNA after heat stabilization.Biomolecular detection and quantification · 2016Article
- Heat fixation inactivates viral and bacterial pathogens and is compatible with downstream MALDI mass spectrometry tissue imaging.BMC microbiology · 2015Article
- Environmental stress affects the activity of metabolic and growth factor signaling networks and induces autophagy markers in MCF7 breast cancer cells.Molecular & cellular proteomics : MCP · 2014Article
- Grading breast cancer tissues using molecular portraits.Molecular & cellular proteomics : MCP · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The separation between biological and technical variation without extensive use of technical replicates is often challenging, particularly in the context of different forms of protein and peptide modifications. Biosampling procedures in the research laboratory are easier to conduct within a shorter time frame and under controlled conditions as compared with clinical sampling, with the latter often having issues of reproducibility. But is the research laboratory biosampling really less variable? Biosampling introduces within minutes rapid tissue-specific changes in the cellular microenvironment, thus inducing a range of different pathways associated with cell survival. Biosampling involves hypoxia and, depending on the circumstances, hypothermia, circumstances for which there are evolutionarily conserved defense strategies in the range of species and also are relevant for the range of biomedical conditions. It remains unclear to what extent such adaptive processes are reflected in different biosampling procedures or how important they are for the definition of sample quality. Lately, an increasing number of comparative studies on different biosampling approaches, post-mortem effects and pre-sampling biological state, have investigated such immediate early biosampling effects. Commonalities between biosampling effects and a range of ischemia/reperfusion- and hypometabolism/anoxia-associated biological phenomena indicate that even small variations in post-sampling time intervals are likely to introduce a set of nonrandom and tissue-specific effects of experimental importance (both in vivo and in vitro). This review integrates the information provided by these comparative studies and discusses how an adaptive biological perspective in biosampling procedures may be relevant for sample quality issues.
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