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Sample GSM3893676 Query DataSets for GSM3893676
Status Public on Jun 18, 2019
Title Compost in livestock ZZ replicate2
Sample type RNA
 
Source name Microbes in Compost
Organism compost metagenome
Characteristics different livestock farms: ZZ
status after 5 years: Compost
Extracted molecule total RNA
Extraction protocol Microbial genomic DNA in each sample was extracted using a FastDNA spin kit for soil (MP Biomedical, Carlsbad, CA, USA) following the manufacturer’s instructions. To purify it, DNA extract was mixed with 2.5 volume of 100% ice cold ethanol and 0.1 volume of 3 M NaOAc (pH 5.2) prior to overnight incubation at -20°C. DNA was precipitated by centrifugation for 30 minutes at 13,000 x g. Then supernatant was decanted and washed with 1 ml of 70% ethanol. DNA was air-dried and dissolved in 50 µl of nuclease-free water. DNA quality and quantity were measured using NanoDrop ND-1000 Spectrophotometer (NanoDrop Technologies Inc., Wilmington, DE, USA) and with PicoGreen (Ahn et al 1996) using a FLUOstar Optima (BMG Labtech, Jena, Germany), respectively.
Label Cy5
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 ZZC2
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 Jun 17, 2019
Last update date Jun 18, 2019
Contact name Qun Gao
E-mail(s) gao-q14@mails.tsinghua.edu.cn
Organization name Tsinghua University
Department Environmental sicence and engineering
Street address Shuang Qing Road
City Beijing
State/province Beijing
ZIP/Postal code 100084
Country China
 
Platform ID GPL26791
Series (1)
GSE132839 Gene expression-based, through the hybridization of microbial DNA onto the designed probes on microarrys, i.e., GeoChip

Data table header descriptions
ID_REF
VALUE Normalized signal intensity

Data table
ID_REF VALUE
155121777 6.996846488
155122477 6.891213913
156068180
155125081 7.045988088
155371532 9.215594158
13177493 8.71124088
18640122
187903038
6578562
215820446 6.585757285
169733985
169733565 6.192891049
33638136
76363940
2338448 7.016815926
32891961
215820424
9944573
169733631
155123441

Total number of rows: 81515

Table truncated, full table size 1280 Kbytes.




Supplementary data files not provided
Processed data included within Sample table

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