About this Dataset

Acute Ozone-Induced Transcriptional Changes In Markers Of Oxidative Stress And Glucocorticoid Signaling In The Rat Hippocampus And Hypothalamus Are Sex-Specific

The dataset is comprised of multiple data-frames. Our focus is on sex and brain region specific responses to ozone in a rat model. The PCR data describes the gene expression from listed brain regions resulting from ozone exposure. Complex enzymes were also assayed due to their sensitivity to oxidative stress using biochemical colorimetric assays. And finally, we collected data for oxidative stress artifacts such as protein carbonyl productions, total antioxidants, and enzyme activity.

This dataset is associated with the following publication:
Valdez, M., D. Freeborn, P. Vulimiri, J. Valdez, U. Kodavanti, and P. Kodavanti. Acute Ozone-Induced Transcriptional Changes in Markers of Oxidative Stress and Glucocorticoid Signaling in the Rat Hippocampus and Hypothalamus are Sex-Specific.. International Journal of Molecular Sciences. MDPI, Basel, SWITZERLAND, 24(7): 1, (2023).
Organization: U.S. Environmental Protection Agency
Last updated: 2023-07-02T08:45:32.605746
Tags: air-pollution, brain, gender, gene-expression

Tables

CarbonylData

@usgov.epa_gov_acute_ozone_induced_transcriptional_changes_in_48bf7d95.carbonyldata

13.79 KB
193 rows
13 columns


CREATE TABLE carbonyldata (
  "plate" VARCHAR,
  "roi" VARCHAR,
  "sample" VARCHAR,
  "rawcarbonyl" DOUBLE,
  "rawcarbonyl_units" VARCHAR,
  "protein" DOUBLE,
  "protein_units" VARCHAR,
  "carbonyl" DOUBLE,
  "carbonyl_units" VARCHAR,
  "sex" VARCHAR,
  "diet" VARCHAR,
  "exercise" VARCHAR,
  "ozone_ppm" DOUBLE
);

Com1 Dataframe

@usgov.epa_gov_acute_ozone_induced_transcriptional_changes_in_48bf7d95.com1_dataframe

24.79 KB
192 rows
25 columns


CREATE TABLE com1_dataframe (
  "study" VARCHAR,
  "com_name" VARCHAR,
  "sacrfice_date" TIMESTAMP,
  "harvest_date" BIGINT,
  "sac_id" BIGINT,
  "tube_id" VARCHAR,
  "exp_id" BIGINT,
  "cage_num" BIGINT,
  "box" VARCHAR,
  "sex" VARCHAR,
  "roi" VARCHAR,
  "ozone_ppm" DOUBLE,
  "diet" VARCHAR,
  "exercise" VARCHAR,
  "plate_num" BIGINT,
  "tissue_wt" BIGINT,
  "tissue_wt_units" VARCHAR,
  "well_1" VARCHAR,
  "mod_1" DOUBLE,
  "well_2" VARCHAR,
  "mod_2" DOUBLE,
  "protein" DOUBLE,
  "protein_units" VARCHAR,
  "cf_mult" DOUBLE,
  "cf_add" DOUBLE
);

Com2 Dataframe

@usgov.epa_gov_acute_ozone_induced_transcriptional_changes_in_48bf7d95.com2_dataframe

24.21 KB
192 rows
25 columns


CREATE TABLE com2_dataframe (
  "study" VARCHAR,
  "com_name" VARCHAR,
  "sacrfice_date" TIMESTAMP,
  "harvest_date" TIMESTAMP,
  "sac_id" BIGINT,
  "tube_id" VARCHAR,
  "exp_id" BIGINT,
  "cage_num" BIGINT,
  "box" VARCHAR,
  "sex" VARCHAR,
  "roi" VARCHAR,
  "ozone_ppm" DOUBLE,
  "diet" VARCHAR,
  "exercise" VARCHAR,
  "plate_num" BIGINT,
  "tissue_wt" BIGINT,
  "tissue_wt_units" VARCHAR,
  "well_1" VARCHAR,
  "mod_1" DOUBLE,
  "well_2" VARCHAR,
  "mod_2" DOUBLE,
  "protein" DOUBLE,
  "protein_units" VARCHAR,
  "cf_mult" DOUBLE,
  "cf_add" DOUBLE
);

Com4 Dataframe

@usgov.epa_gov_acute_ozone_induced_transcriptional_changes_in_48bf7d95.com4_dataframe

25.02 KB
192 rows
25 columns


CREATE TABLE com4_dataframe (
  "study" VARCHAR,
  "com_name" VARCHAR,
  "sacrfice_date" TIMESTAMP,
  "harvest_date" TIMESTAMP,
  "sac_id" BIGINT,
  "tube_id" VARCHAR,
  "exp_id" BIGINT,
  "cage_num" BIGINT,
  "box" VARCHAR,
  "sex" VARCHAR,
  "roi" VARCHAR,
  "ozone_ppm" DOUBLE,
  "diet" VARCHAR,
  "exercise" VARCHAR,
  "plate_num" BIGINT,
  "tissue_wt" BIGINT,
  "tissue_wt_units" VARCHAR,
  "well_1" VARCHAR,
  "mod_1" DOUBLE,
  "well_2" VARCHAR,
  "mod_2" DOUBLE,
  "protein" DOUBLE,
  "protein_units" VARCHAR,
  "cf_mult" DOUBLE,
  "cf_add" DOUBLE
);

RosData 2

@usgov.epa_gov_acute_ozone_induced_transcriptional_changes_in_48bf7d95.rosdata_2

17.52 KB
192 rows
14 columns


CREATE TABLE rosdata_2 (
  "tube_id" VARCHAR,
  "sod_u_ml" DOUBLE,
  "tas_mmol_l" DOUBLE,
  "protein_ug_ml" VARCHAR,
  "ubiq_mu_ml" DOUBLE,
  "ggcs_um_ml" DOUBLE,
  "nqo1_nm_ml" DOUBLE,
  "ubiq2_mu_ml" DOUBLE,
  "sex" VARCHAR,
  "roi" VARCHAR,
  "study" VARCHAR,
  "dose" VARCHAR,
  "diet" VARCHAR,
  "exercise" VARCHAR
);