RNA Detection

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  1. The amount of spiked-in volume should be discussed with the
    scientist performing the mass spectrometry experiments.

  2. After receiving the dataset, normalize the “light” peptide
    intensity data points by normalization factors obtained from
    “heavy” peptide intensity. Linear regression between the
    “heavy” intensity from both conditions may be applied and
    the slope of the linear fit used as normalization factor. Alterna-
    tively, normalization may also be carried out by quantile nor-
    malization (preprocessCore, baySeq Bioconductor packages)
    [25] or DESeq2-style normalization which is based on geo-
    metric means [26]. Identify differential binders by computing
    log2-transformed fold changes between treated and untreated
    sample.

  3. Differential amount of proteins in oligo(dT) eluates may arise
    due to differences in amounts of total poly(A)+RNA between
    treated and untreated cells as well as differences in total protein
    abundance. Therefore, mRNA and protein levels should be
    quantified in input lysates by qRT-PCR, RNA-seq, Western,
    and whole proteome analysis. If changes can only be observed
    on the RBPome level, but not on the mRNA and protein level
    the differential binding activity for RNA-binding proteins was
    successfully detected.


Acknowledgment


We thank Koshi Imami and Matthias Selbach (Max Delbr€uck Cen-
ter for Molecular Medicine, Berlin) for their expertise in mass
spectrometry. This work was supported by an International Euro-
pean Fellowship (Maria Sklodowska Actions FP7-PEOPLE-2011-
IEF) and DFG grant LA 2941/5-1.

References



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416 Miha Milek and Markus Landthaler

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