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Sample GSM2385934 Query DataSets for GSM2385934
Status Public on Nov 09, 2016
Title B3218C
Sample type genomic
 
Source name mineral/-2℃/122
Organism soil metagenome
Characteristics tissue: Soil microbes
geographical location: USA: Barrow, Alaska
layer: mineral
temperature: -2℃
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 warmest month 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 6.716189728
296922575 6.847933934
261285510 7.54829019
345636634 7.187149023
221738246 6.631645851
170749249 8.58813154
336025046 7.929340832
333892934 6.989811558
386419647 8.162861471
115516566 8.564126662
118424325 6.862570029
302698083 6.951384912
316950802 6.916703326
360041073 8.510138425
194339848 7.569435889
83309358 8.043614925
226091311 7.158526993
262274973 7.532711356
344339443 6.908190684
50542666 7.172253342

Total number of rows: 78730

Table truncated, full table size 1492 Kbytes.




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

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