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Sample GSM2385928 Query DataSets for GSM2385928
Status Public on Nov 09, 2016
Title B5215C
Sample type genomic
 
Source name mineral/8℃/122
Organism soil metagenome
Characteristics tissue: Soil microbes
geographical location: USA: Barrow, Alaska
layer: mineral
temperature: 8℃
day: 122
Extracted molecule genomic DNA
Extraction protocol Soil DNA was extracted by freeze-grinding mechanical lysis as previously described (Zhou et al 1996). Freshly extracted DNA was purified twice using 0.5% low melting point agarose gel followed by phenol-chloroform-butanol extraction. DNA quality and quantity were assessed by the ratios of 260 nm/280 nm and 260 nm/230 nm, and final DNA contents were quantified with a PicoGreen method using a FLUO star Optima .
Label Cy3
Label protocol As previously described (Yang et al 2013), DNA samples were labeled with the fluorescent dye Cy-5 using a random priming method and purified using the QIA quick purification kit (Qiagen, Valencia, CA, USA).
 
Hybridization protocol Then DNA was dried in a SpeedVac (ThermoSavant, Milford, MA, USA) at 45°C for 45 minutes. The hybridization was carried out at 42°C for 16 hours on a MAUI hybridization station (BioMicro, Salt Lake City, UT, USA).
Scan protocol After purification, GeoChip microarrays were scanned by a NimbleGen MS200 scanner (Roche, Madison, WI, USA) at 633 nm using a laser power and photomultiplier tube (PMT) gain of 100% and 75%, respectively.
Description GeoChip data for mineral soil sample incubated at a near-freezing condition for 122 day, replicate 3
Data processing Signal intensities were quantified and processed using the data analysis pipeline as previously described (He et al 2010). Then processed GeoChip data were analyzed using the following steps: (i) remove the poor quality spots, which were flagged as 1 or 3 by ImaGene or with a signal to noise ratio (SNR) of less than 2.0; (ii) normalize the signal intensity of each spot by dividing the signal intensity by the total intensity of the microarray followed by multiplying by a constant; (iii) transform the data to the natural logarithmic form; and (iv) remove genes detected in only one out of three samples from the same elevation.
 
Submission date Nov 08, 2016
Last update date Nov 09, 2016
Contact name yang sihang
E-mail(s) yangsihanglear@163.com
Organization name Tsinghua University
Street address Haidian district Shuangqing road #30
City Beijing
ZIP/Postal code 100084
Country China
 
Platform ID GPL22652
Series (1)
GSE89644 The microbial functional diversity in response to warming incubation at Alaska as characterized by GeoChip

Data table header descriptions
ID_REF
VALUE Normalized signal intensity

Data table
ID_REF VALUE
365921541
296922575 6.849938119
261285510 7.1448684
345636634 6.683958514
221738246 7.121614181
170749249 8.352224015
336025046 7.51175278
333892934 6.801650931
386419647 7.659199528
115516566 8.282781821
118424325 7.028886392
302698083 6.311687621
316950802 6.900377933
360041073 7.748479868
194339848 7.288741543
83309358 7.852203988
226091311 6.869749316
262274973 7.155803557
344339443 7.342565704
50542666 6.669317744

Total number of rows: 78730

Table truncated, full table size 1381 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
Processed data are available on Series record

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