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. Author manuscript; available in PMC: 2014 Nov 1.
Published in final edited form as: Biochim Biophys Acta. 2013 Jan 31;1834(11):2226–2232. doi: 10.1016/j.bbapap.2013.01.022

Table. 1.

Methodologies to study cell secretomes with their potential advantages and disadvantages.

Methodologies Advantages Disadvantages
SAGE
  1. Direct, quantitative method

  2. Genome knowledge not required

  1. Low-throughput, time consuming

  2. Same tag on multiple gene

  3. Sequencing error, quantitation bias

  4. Low abundance transcript missed

DNA microarray
  1. High-throughput, quantitativemethod

  1. Knowledge of sequences required

  2. Rare transcripts missed

  3. Labeling and hybridization biases

  4. Identify differentially expressedgenes only.

Antibody and bead
arrays
  1. Sensitive and specific method

  2. Low abundance transcriptdetected

  3. Reproducible

  1. Expensive

  2. Availability of specific antibody

  3. Non-specific binding

  4. Fast denaturation of proteins

Mass spectrometry
2-DE
DIGE
ICAT
iTRAQ
SILAC
SELDI-TOF
  1. High resolving power

  2. Low abundance transcript detected only with ICAT, iTRAQand SILAC

  3. Good sequence coverage

  1. Rare transcripts not detected with2-DE and DIGE

  2. Limited reproducibility with 2-DE andDIGE

  3. ICAT only applicable to cysteinecontaining proteins

  4. Limited dynamic range

  5. SILAC not applicable to clinicalproteins in vivo

RNA sequencing
  1. Genome knowledge not required

  2. Non-model organisms can beused

  1. Large amount of data, storage

  2. Bioinformatics challenge

  3. Only structural/sequence information

  4. Rare transcripts missed

  5. Strand biases

  6. Amplification selection andhybridization artifacts

Yeast Secretion
Trap (YST)
  1. Functional method

  2. Sequence information alsoobtained

  1. Mammalian proteins not working inyeast

  2. Low abundance proteins missed

  3. Proteins lacking signal peptidemissed

Computation
algorithms
  1. Predict secretory proteins

  1. Not based on experimental data

  2. mRNA levels may not correlate withprotein levels