CSReport: A New Computational Tool Designed for Automatic Analysis of Class Switch Recombination Junctions Sequenced by High-Throughput Sequencing.
François BoyerHend BoutouilIman DalloulZeinab DalloulJeanne Cook-MoreauJean-Claude AldigierClaire CarrionBastien HerveErwan ScaonMichel CognéSophie PéronPublished in: Journal of immunology (Baltimore, Md. : 1950) (2017)
B cells ensure humoral immune responses due to the production of Ag-specific memory B cells and Ab-secreting plasma cells. In secondary lymphoid organs, Ag-driven B cell activation induces terminal maturation and Ig isotype class switch (class switch recombination [CSR]). CSR creates a virtually unique IgH locus in every B cell clone by intrachromosomal recombination between two switch (S) regions upstream of each C region gene. Amount and structural features of CSR junctions reveal valuable information about the CSR mechanism, and analysis of CSR junctions is useful in basic and clinical research studies of B cell functions. To provide an automated tool able to analyze large data sets of CSR junction sequences produced by high-throughput sequencing (HTS), we designed CSReport, a software program dedicated to support analysis of CSR recombination junctions sequenced with a HTS-based protocol (Ion Torrent technology). CSReport was assessed using simulated data sets of CSR junctions and then used for analysis of Sμ-Sα and Sμ-Sγ1 junctions from CH12F3 cells and primary murine B cells, respectively. CSReport identifies junction segment breakpoints on reference sequences and junction structure (blunt-ended junctions or junctions with insertions or microhomology). Besides the ability to analyze unprecedentedly large libraries of junction sequences, CSReport will provide a unified framework for CSR junction studies. Our results show that CSReport is an accurate tool for analysis of sequences from our HTS-based protocol for CSR junctions, thereby facilitating and accelerating their study.
Keyphrases
- single molecule
- immune response
- high throughput sequencing
- dna repair
- dna damage
- induced apoptosis
- working memory
- quantum dots
- electronic health record
- cell cycle arrest
- oxidative stress
- signaling pathway
- quality improvement
- big data
- deep learning
- single cell
- endoplasmic reticulum stress
- mass spectrometry
- inflammatory response
- toll like receptor
- machine learning
- transcription factor
- cell proliferation
- social media