Affy Tx sRNA Sig Track Settings
 
Affymetrix Transcriptome Phase 3 Short RNA Signal   (Affy Txn)

This track is part of a parent called 'Affy Txn'. To show other tracks of this parent, go to the Affy Txn configuration page.

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dense
 HeLa + sRNA  Affymetrix Hela Plus Strand Short RNA (Whole Cell) Signal   schema 
dense
 HeLa - sRNA  Affymetrix Hela Minus Strand Short RNA (Whole Cell) Signal   schema 
dense
 HepG2 + sRNA  Affymetrix HepG2 Plus Strand Short RNA (Whole Cell) Signal   schema 
dense
 HepG2 - sRNA  Affymetrix HepG2 Minus Strand Short RNA (Whole Cell) Signal   schema 
Data coordinates converted via liftOver from: May 2004 (NCBI35/hg17)

Description

This track displays transcriptome data from tiling GeneChips produced by Affymetrix. For the complete non-repetitive portion of the human genome, more than 256 million probepairs were tiled every 5 bp in non-repeat-masked areas and hybridized to whole-cell short RNA (<200 nucleotides) from two different cell lines. Note that the female cell lines HeLa, SK-N-AS, and U87MG do not contain data for chrY. Data were collected using a strand-specific methodology that allows separate measurements for top strand (sense) and bottom strand (antisense) RNA signals. For experimental details and results, see Kapranov et al. in the References section below.

This track contains the signal level estimated for each mapped probe position after hybridization with short RNA samples. A separate track named "Affy Tx sRNA Reg" contains transcribed fragments (transfrags) representing short RNAs (see Kapranov et al. in the References section below). While the raw data are based on perfect match minus mismatch (PM - MM) probe values and may contain negative values, the track has a minimum value of zero for visualization purposes. Likewise, the probes with high signal values will be cut off at the intensity of 150 by default and will appear to have similar magnitude.

Display Conventions and Configuration

This annotation follows the display conventions for composite tracks. The subtracks within this annotation may be configured in a variety of ways to highlight different aspects of the displayed data. The graphical configuration options are shown at the top of the track description page, followed by a list of subtracks. For more information about the graphical configuration options, click the Graph configuration help link. To display only selected subtracks, uncheck the boxes next to the tracks you wish to hide.

Methods

Genomic regions corresponding to the sRNA transcripts were mapped for the plus or the minus strands of the genome and for HepG2 and HeLa cell lines respectively. The following analysis steps were performed:

  1. Replicate arrays were quantile-normalized and the median intensity (using both PM and MM intensities) of each array was scaled to a target value of 20.
  2. The expression level was estimated for each mapped probe position without application of a smoothing window. This was followed by the generation of transfrags in the track labeled "Affy Tx sRNA Reg" as follows:
    • probes with intensities corresponding to the 98th percentile of all the PM-MM probe intensities were identified.
    • transfrags were determined by connecting adjacent positive probes with a maximum allowable gap of four nucleotides and a minimum run of seven nucleotides (at least two consecutive positive probes with no negative probes between), and must be called positive reproducibly in both biological replicas.
    • to further prioritize the transfrag maps, the intensities of all the transfrags were calculated based on the composite signals of the two biological replicas, and transfrags corresponding to the top 25 quartile were used for further analysis.
  3. In addition, several successive steps were performed to avoid potentially cross-hybridizing sequences and/or those that mapped to potentially non-unique regions. Transfrags were discarded that overlapped pseudogenes or harbored low-complexity or repetitive sequences. These maps are believed to represent a very conservative view of the sRNA population in the cell.

Credits

Data generation and analysis were performed by the transcriptome group at Affymetrix with assistance from colleagues at the University of Leipzig, Fraunhofer Institute, and University of Vienna: P. Kapranov, J. Cheng, S. Dike, D.A. Nix, R. Duttagupta, A.T. Willingham, P.F. Stadler, J. Hertel, J. Hackermüller, I.L. Hofacker, I. Bell, E. Cheung, J. Drenkow, E. Dumais, S. Patel, G. Helt, M. Ganesh, S. Ghosh, A. Piccolboni, V. Sementchenko, H. Tammana, T.R. Gingeras.

Questions or comments about this annotation? Email genome@soe.ucsc.edu.

References

Kapranov P, Cheng J, Dike S, Nix DA, Duttagupta R, Willingham AT, Stadler PF, Hertel J, Hackermüller J, Hofacker IL, et al. RNA maps reveal new RNA classes and a possible function for pervasive transcription. Science. 2007 Jun 8;316(5830):1484-8.