Cytokine q-RT-PCR, c-Fos immunoreactivity and open field behaviour data in rats following bladder inflammation

<p>Dataset 1: Cytokine Up-regulation following Acute Bladder Inflammation<br>Legend: .csv file containing q-RT-PCR cycle time (CT) for each of the 92 inflammatory mediators and 4 housekeeping genes. Delta CT (dCT) and fold change (FC) values are shown for each. Exclusions are denoted by * by the sample or transcript ID.</p> <p>Dataset 2: Cytokine Up-regulation following Repeated Bladder Inflammation<br>Legend: .csv file containing q-RT-PCR cycle time (CT) for each of the 92 inflammatory mediators and 4 housekeeping genes. Delta CT (dCT) and fold change (FC) values are shown for each. Exclusions are denoted by * by the sample or transcript ID.</p> <p>Dataset 3: Open Field activity following Acute Bladder Inflammation<br>Legend: .zip file containing 15 minute videos of open field behaviour in rats 24hrs after acute bladder inflammation (36). File naming reflects individual animal IDs to maintain blinding. Group allocation data available on request from F1000Research.<br>Each file was edited using Adobe Premiere (Creative Cloud) as follows: • A 10 second ‘lead-in’ period prior to introduction of the animal was edited in, either by trimming from the start of the video to a point 10 seconds before introduction of the animal, or by stretching the footage prior to introduction of the animal to a 10 second duration<br>• The arena was straightened, making it easier for others analysing the dataset as only a single arena template is required during automated analysis e.g. using Ethovision, Noldus Software, The Netherlands<br>• File formats were converted from .mpg to .mp4 to reduce the file size (from ~200MB to ~50MB)</p> <p>Dataset 4: Open Field activity following Repeated Bladder Inflammation<br>Legend: .zip file containing 15 minute videos of open field behaviour in rats 24hrs after (38). File naming reflects individual animal IDs to maintain blinding. Group allocation data available on request from F1000Research.<br>Each file has been edited using Adobe Premiere (Creative Cloud) as follows: • A 10 second ‘lead-in’ period prior to introduction of the animal was edited in, either by trimming from the start of the video to a point 10 seconds before introduction of the animal, or by stretching the footage prior to introduction of the animal to a 10 second duration<br>• The arena was straightened, making it easier for others analysing the dataset as only a single arena template is required during automated analysis e.g. using Ethovision, Noldus Software, The Netherlands<br>• File formats were converted from .mpg to .mp4 to reduce the file size (from ~200MB to ~50MB)</p> <p> </p> <p>Dataset 5: c-Fos Immunoreactivity in the Central Amygdala following Acute Bladder Inflammation<br>Legend: .csv file containing area, count, and density data for c-Fos immunoreactivity in the central amygdala. This data underwent extensive manipulation prior to analysis: density values for each subnuclei were pooled for each rostro-caudal level, and used in combination with individual subnuclei data to calculate overall density values.</p> <p>Dataset 6: c-Fos Immunoreactivity in the Central Amygdala following Repeated Bladder Inflammation<br>Legend: .csv file containing area, count, and density data for c-Fos immunoreactivity in the central amygdala.<br>This data underwent extensive manipulation prior to analysis: density values for each subnuclei were pooled for each rostro-caudal level, and used in combination with individual subnuclei data to calculate overall density values.</p> <p> </p>