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- W2010989357 abstract "WHEN you plan and perform an experiment it is clear that there is a check list on all the important details that you have explored to make your experiment run perfectly. If you have a comprehensive list it will also include some sets of measurements for standardization and positive and negative controls to verify that your assay is really working. You will of course also store the data you generated to be able to revisit them sometime later and, if you have published data, to archive them for many years. But how do you communicate all these necessities? First of all, all colleagues in your laboratory using this method will learn and experience all details needed and thereby can perform the experiments in a more or less identical fashion. This will be true also for visiting scientists. The problem arises when it is time to spread the news through publication of the resulting data or methods: how to provide adequate information such that readers can understand a setup and repeat an experiment in their own labs ? That experiments might render unrepeatable is as old as scientific publication. As a famous example, Johann Friedrich Böttger used in the year 1706 a misleading experimental protocol to generate gold from clay and ended up with porcelain. Thus the question “What minimal information is required for reproducibility?” is an old one. In particular, as high throughput Omics assays flood us with data, this question becomes inescapable. The scientists dealing with microarray-based transcriptomics were the first to advance a proposal. Their consensus on the minimal information about a microarray experiment (MIAM) was the first to be published, back in 2001 (1). Since then many groups initiated to develop guidelines for their field. Presently, more than 20 such guidelines are either under development or have already been published (2). This includes MIs for cellular assays [MIACA], genome sequence [MIGS], RNA interference [MIARE] and finally, for flow cytometry [MIFlowCyt]. We are happy that our journal is the one that publishes the initial paper of the MIFlowCyt project (3). Furthermore, cytometric analyses have moved into the crosshairs of many scientific areas. Besides physicians, biotechnologists, and microbiologists became aware that cell populations and communities are by no means black box systems any longer. The direct indication for this is the spread of many national and international systems biology calls which inevitably contain single cell analysis approaches, meaning that scientists will start with single cell analysis without having much experience of how to analyze, evaluate, and interpret such data. Additional complications might arise if cells are analyzed which are at the limits of cytometric resolution such as bacteria. There are still many biological areas where single cell analysis is difficult to perform because of weak fluorescence signals, fragility of cells, and lack of probes or even standards. Cell behavior and phylogeny might be completely unknown as is the case in microbiology. Therefore, it is essential to have some basic rules to ensure reproducibility of published methods and data by other labs. This means providing all the primary technical information about the machines operated; the beads used for alignment and their CV-values; the probes and calibration of their function; and the necessary use of biological standards in some cases. Scientists involved in single cell analysis have tried in the past to establish rules for reliable analyses and data assessments. However, only a few authors strictly utilized these guidelines for single cell analysis. Now, with the spread of interdisciplinary research topics, the pressure for obligatory guiding principles is vital and surfaces with vigor. A major goal of Cytometry Part A is to adapt MIFlowCyt criteria to facilitate third party understanding of flow cytometry data and to that end the journal has dramatically increased the number of papers providing supplementary material. In 2006, only one publication was accompanied by supplementary on-line information; in 2007, 11 papers contained supplementary material and that number has increased to 29 today (4). Supplementary information provided is presently quite heterogeneous. It contains pdfs or power points of gating strategies, detailed texts or diagrams on experimental procedures, videos and (rarely) original list mode data (5-7). Cytometry Part A will spearhead the highest possible publishing standards for flow cytometry experiments. It will thereby set the standards for topical journals that publish a substantial amount of flow cytometry data. There are different ways of realizing this goal and the best possible solution will be developed in close collaboration with members of the MIFlowCyt consortium. What's next is to start the development of MIs for the other technologies important in our science including imaging and image cytometry." @default.
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- W2010989357 date "2008-10-01" @default.
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- W2010989357 title "Making cytometry publications comprehensive" @default.
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- W2010989357 doi "https://doi.org/10.1002/cyto.a.20650" @default.
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