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Sample GSM5173469 Query DataSets for GSM5173469
Status Public on Mar 17, 2021
Title Pond Inlet B9 cDNA
Sample type RNA
 
Source name Soil
Organism soil metagenome
Characteristics source: Environmental soil
location: High Arctic: Pond Inlet
Treatment protocol Soil samples were collected using a sterile scoop and placed into a 5 mL sampling tube containing RNAlater Stabilization Solution
Growth protocol Samples collected directly from the environment
Extracted molecule total RNA
Extraction protocol Total DNA and RNA were extracted from each soil sample using ZymoBIOMICS DNA & RNA kit. The total RNA extracted were subjected to DNAse I treatment and cDNA was generated from the RNA template using SuperScript IV First-Strand Synthesis System for RT-PCR according to the manufacturer’s instruction.
Label Cy3
Label protocol The DNA from each sample (500 ng) was labelled with the fluorescent dye Cy-3 by random priming.
 
Hybridization protocol Each dried and labelled DNA sample was resuspended in 42 µL of hybridization solution. This solution consisted of 1 x HI-RPM hybridization buffer, 1 x comparative genome hybridization blocking agent, 0.05 µg・µL-1 Cot-1 DNA, 10 pM universal standard, and 10% formamide (final concentrations). The solution was later denatured by remaining at 95 ℃ for 3 min. To remove the bubbles created during the denaturation process, the conditions were maintained at 37 ℃ for 30 min. The hybridizations were carried out at 67 ℃ for 24 h
Scan protocol The scanned images of the GeoChip hybridizations were obtained and converted by means of the Agilent Feature Extraction 11.5 software (Agilent Technologies, California, USA)
Description B901_cDNA
Data processing The signal intensities, used as a proxy of abundances, were quantified and processed based on previous pipelines48 as follows: (i) removing probes with a signal-to-noise ratio of less than 2.0; (ii) normalizing the signal intensity of each probe by dividing the total signal intensity of a sample and multiplying by a constant
 
Submission date Mar 16, 2021
Last update date Mar 17, 2021
Contact name Shu-Kuan Wong
E-mail(s) wong.shu.kuan@nipr.ac.jp
Organization name National Polar Research Institute
Street address 10-3, Midori-cho,
City Tachikawa-shi,
State/province Tokyo
ZIP/Postal code 190-8518
Country Japan
 
Platform ID GPL29739
Series (1)
GSE168985 Survey of Functional Genes in the Arctic Soil of Pond Inlet

Data table header descriptions
ID_REF
VALUE Normalized signal intensity

Data table
ID_REF VALUE
1001685 2128.782375
10039289
10039299 7387.777282
10039307
10039309
10039313
10039315 32174.15989
10039317
10039319
10039321 2457.328697
1004217 29204.71599
1004220 6225.716449
1005418
10172951
10173018 7874.027797
10173188
10173209 832.3231555
10173210 1639.863111
10173212 4018.991403
10173360

Total number of rows: 100175

Table truncated, full table size 1757 Kbytes.




Supplementary file Size Download File type/resource
GSM5173469_B9-1.CDNA_Raw.txt.gz 35.3 Mb (ftp)(http) TXT
Processed data included within Sample table
Processed data are available on Series record

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