Abstract
Polychlorinated biphenyls (PCBs) were used extensively in building materials, including those used in schools. PCBs accumulate in fat, and exposure to PCBs is associated with the development of cancer, neurodevelopmental disorders, cardiovascular disease, obesity, and diabetes. The non-dioxin-like PCB congener, PCB52 (2,2′,5,5′-tetrachlorobiphenyl), is found at one of the highest levels of any congener in school air. PCB52 is oxidized in the liver to hydroxylated forms, mainly 4-OH-PCB52 (2,2’,5,5’-tetrachlorobiphenyl-4-ol). In a previous study, we reported on RNAseq data generated from exposure of human preadipocytes to the dioxin-like PCB congener, PCB126. In this new dataset, we used identical techniques to examine alterations in gene transcript levels in human preadipocytes exposed to PCB52 or 4-OH-PCB52 over a time course. This updated set of data provides a comprehensive transcriptional profile of changes that occur in preadipocytes exposed to PCB52 or 4-OH-PCB52 over time and allows for comparison of these changes between the parent compound and its hydroxy metabolite. The datasets will allow others to explore how PCB52 and 4-OH-PCB52 impact biological pathways in preadipocytes. Further studies can be performed to determine how these changes might lead to disease.
Keywords: Polychlorinated Biphenyls, PCB52, Metabolite, Adipose, RNAseq, Obesity, Diabetes, Preadipocytes
Specifications Table
| Subject | Health, Toxicology and Mutagenesis |
| Specific subject area | Temporal gene expression changes in preadipocytes caused by exposure to PCB52 or its hydroxylated metabolite 4-OH-PCB52 |
| Type of data | Table Figure |
| How the data were acquired | Same as the original data article |
| Data format | Raw -Fastq Analyzed – “Raw Counts after alignment” Filtered Differential Gene Expression |
| Description of data collection | We exposed immortalized normal human preadipocytes (NPADs) from a non-diabetic female donor to either 10 µM PCB52, 4-OH-PCB52, or DMSO as vehicle control. Cells were harvested for RNA after 9, 24, and 72 hours. Four replicates of each condition were collected and assessed for quality. RNA libraries were prepared and these were subjected to deep sequencing. Raw and processed data were deposited on a public database. |
| Data source location | Institution: University of Iowa City/Town/Region: Iowa City, Iowa Country: USA Latitude:41.661129 Longitude: -91.530167 |
| Data accessibility | Repository name: Gene Expression Omnibus (GEO) Data identification number: GSE205813 Direct URL to data: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE205813 Code to reproduce the DEG analysis: klingelhutz_rnaseq_july2020_pcb126/rnaseq_analysis_DEseq2.Rmd |
| Related data article | Gourronc FA, Helm BK, Robertson LW, Chimenti MS, Lehmler HJ, Ankrum JA, Klingelhutz AJ. Dataset of transcriptomic changes that occur in human preadipocytes over a 3-day course of exposure to 3,3′,4,4′,5-Pentachlorobiphenyl (PCB126). Data Brief. 2022 Sep 1;45:108,571. doi: 10.1016/j.dib.2022.108571. PMID: 36,131,953; PMCID: PMC9483567 [1]. |
| Related research article | Gourronc FA, Chimenti MS, Lehmler HJ, Ankrum JA, Klingelhutz AJ. Hydroxylation markedly alters how the polychlorinated biphenyl (PCB) congener, PCB52, affects gene expression in human preadipocytes. Toxicol In Vitro. 2023 Jun;89:105,568. doi: 10.1016/j.tiv.2023.105568. Epub 2023 Feb 15. PMID: 36,804,509; PMCID: PMC10081964 [2]. |
Value of the Data
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The updated dataset represents the first RNAseq data reported for exposure of human cells to PCB52, an important non-dioxin-like persistent organic pollutant that is present at high levels in school air, or its oxidized metabolite 4-OH-PCB52. The data can be mined to reveal novel pathways and genes activated directly or secondarily upon exposure of preadipocytes to PCB52 or 4-OH-PCB52.
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The new data adds value to and builds upon the previous report of RNAseq data for exposure of preadipocytes to PCB126, a dioxin-like PCB. This will allow for comparison of the effects of dioxin- and non-dioxin-like PCBs on human preadipocytes.
1. Data Description
Normal human preadipocytes (NPADs) derived from subcutaneous adipose tissue were exposed to 10 µM PCB52, 4-OH-PCB52, or DMSO over a time course and then subjected to RNAseq. The 10 µM concentration was chosen based on our studies demonstrating that this concentration was non-cytotoxic and studies using other PCB congeners and mixtures showing that this dose causes phenotypic changes in preadipocytes/adipocytes/adipose mesenchymal stem cells [2], [3], [4]. To define the temporal changes in gene expression that occur after PCB52 or 4-OH-PCB52 exposure, the specific time points of 9 hours, 24 hours, and 72 hours were chosen. This time frame is based on our previous findings with another congener, PCB126, demonstrating induction of genes at the early time point of 9 hours with further changes at 24 hours and 72 hours [5]. The exposures to PCB52 or 4-OH-PCB52 were done at the same time as the previously reported dataset using PCB126, and the DMSO control samples used are the same as for that dataset [1]. Table 1 outlines each raw data file and describes the treatment condition, either DMSO or 10 µM PCB52 or 4-OH-PCB52, as well as the duration of exposure to the treatment condition, 9, 24, and 72 hours. The number of aligned reads for each sample is reported in Table 2. After alignment, differentially expressed genes (DEGs) were identified by comparing the 10 µM PCB52 or 4-OH-PCB52 treated NPAD data to the DMSO treated NPAD data for each of the 3 exposure durations. The list of DEGs was filtered only to include genes that showed a log fold change ≥ |0.3| & FDR-adjusted p-value ≤ 0.05. Lists of raw counts for every gene and filtered DEG for each exposure duration and their corresponding log fold change and p-value are available in the files listed in Table 3 and can be found on GEO Accession number: GSE205813. Venn diagrams were created in iPathwayGuide to display the overlap of DEGs between PCB52- or 4-OH-PCB52-treated cells at the same time points (Fig. 1).
Table 1.
List of accession numbers for each transcriptome in GEO database.
| Sample | Treatment Condition | Exposure Duration | GEO Accession Number |
|---|---|---|---|
| Veh_1_9h | Vehicle | 9 hr | GSM6231072 |
| Veh_2_9h | Vehicle | 9 hr | GSM6231073 |
| Veh_3_9h | Vehicle | 9 hr | GSM6231074 |
| Veh_4_9h | Vehicle | 9 hr | GSM6231075 |
| 52_1_9h | 10 µM PCB52 | 9 hr | GSM6231076 |
| 52_2_9h | 10 µM PCB52 | 9 hr | GSM6231077 |
| 52_3_9h | 10 µM PCB52 | 9 hr | GSM6231078 |
| 52_4_9h | 10 µM PCB52 | 9 hr | GSM6231079 |
| 52_OH_1_9h | 10 µM 4-OH-PCB52 | 9 hr | GSM6231080 |
| 52_OH_2_9h | 10 µM 4-OH-PCB52 | 9 hr | GSM6231081 |
| 52_OH_3_9h | 10 µM 4-OH-PCB52 | 9 hr | GSM6231082 |
| 52_OH_4_9h | 10 µM 4-OH-PCB52 | 9 hr | GSM6231083 |
| Veh_1_Day1 | Vehicle | 24 hr | GSM6231084 |
| Veh_2_Day1 | Vehicle | 24 hr | GSM6231085 |
| Veh_3_Day1 | Vehicle | 24 hr | GSM6231086 |
| Veh_4_Day1 | Vehicle | 24 hr | GSM6231087 |
| 52_1_Day1 | 10 µM PCB52 | 24 hr | GSM6231088 |
| 52_2_Day1 | 10 µM PCB52 | 24 hr | GSM6231089 |
| 52_3_Day1 | 10 µM PCB52 | 24 hr | GSM6231090 |
| 52_4_Day1 | 10 µM PCB52 | 24 hr | GSM6231091 |
| 52_OH_1_Day1 | 10 µM 4-OH-PCB52 | 24 hr | GSM6231092 |
| 52_OH_2_Day1 | 10 µM 4-OH-PCB52 | 24 hr | GSM6231093 |
| 52_OH_3_Day1 | 10 µM 4-OH-PCB52 | 24 hr | GSM6231094 |
| 52_OH_4_Day1 | 10 µM 4-OH-PCB52 | 24 hr | GSM6231095 |
| Veh_1_Day3 | Vehicle | 72 hr | GSM6231096 |
| Veh_2_Day3 | Vehicle | 72 hr | GSM6231097 |
| Veh_3_Day3 | Vehicle | 72 hr | GSM6231098 |
| Veh_4_Day3 | Vehicle | 72 hr | GSM6231099 |
| 52_1_Day3 | 10 µM PCB52 | 72 hr | GSM6231100 |
| 52_2_Day3 | 10 µM PCB52 | 72 hr | GSM6231101 |
| 52_3_Day3 | 10 µM PCB52 | 72 hr | GSM6231102 |
| 52_4_Day3 | 10 µM PCB52 | 72 hr | GSM6231103 |
| 52_OH_1_Day3 | 10 µM 4-OH-PCB52 | 72 hr | GSM6231104 |
| 52_OH_2_Day3 | 10 µM 4-OH-PCB52 | 72 hr | GSM6231105 |
| 52_OH_3_Day3 | 10 µM 4-OH-PCB52 | 72 hr | GSM6231106 |
Table 2.
Summary statistics of reads mapping for each sample after alignment.
| Sample | # of Mapped Reads |
|---|---|
| Veh_1_9h | 29,352,009 |
| Veh_2_9h | 26,035,064 |
| Veh_3_9h | 40,601,343 |
| Veh_4_9h | 29,735,917 |
| 52_1_9h | 40,874,007 |
| 52_2_9h | 47,215,026 |
| 52_3_9h | 38,497,159 |
| 52_4_9h | 33,793,144 |
| 52_OH_1_9h | 34,564,996 |
| 52_OH_2_9h | 34,002,685 |
| 52_OH_3_9h | 31,873,220 |
| 52_OH_4_9h | 31,803,449 |
| Veh_1_Day1 | 29,733,576 |
| Veh_2_Day1 | 36,013,685 |
| Veh_3_Day1 | 33,340,688 |
| Veh_4_Day1 | 35,876,505 |
| 52_1_Day1 | 25,978,478 |
| 52_2_Day1 | 44,822,922 |
| 52_3_Day1 | 39,570,949 |
| 52_4_Day1 | 37,804,878 |
| 52_OH_1_Day1 | 27,511,262 |
| 52_OH_2_Day1 | 40,918,017 |
| 52_OH_3_Day1 | 35,708,220 |
| 52_OH_4_Day1 | 36,290,154 |
| Veh_1_Day3 | 29,804,511 |
| Veh_2_Day3 | 31,061,250 |
| Veh_3_Day3 | 34,618,101 |
| Veh_4_Day3 | 25,673,758 |
| 52_1_Day3 | 31,000,244 |
| 52_2_Day3 | 34,675,517 |
| 52_3_Day3 | 31,885,261 |
| 52_4_Day3 | 36,735,258 |
| 52_OH_1_Day3 | 43,092,924 |
| 52_OH_2_Day3 | 31,148,642 |
| 52_OH_3_Day3 | 42,028,480 |
Table 3.
Processed data files after alignment and differentially expressed gene analysis.
| File Name | Description of Analysis | Exposure Duration |
|---|---|---|
| GSE205813_raw_counts_GRCh38.p13_NCBI.tsv.gz | Raw Counts after alignment | All |
| GSE205813_DEG_pcb52_dayzero_vs_veh.xlsx | Differential Gene Expression between DMSO and PCB52 treated cells. Filtered to include genes with log fold change ≥ |0.3| & p-value ≤ 0.05 | 9 hr |
| GSE205813_DEG_pcb52OH_dayzero_vs_veh.xlsx | 9 hr | |
| GSE205813_DEG_pcb52_dayone_vs_veh.xlsx | 24 hr | |
| GSE205813_DEG_pcb52OH_dayone_vs_veh.xlsx | 24 hr | |
| GSE205813_DEG_pcb52OH_daythree_vs_veh.xlsx | 72 hr | |
| GSE205813_DEG_pcb52OH_daythree_vs_veh.xlsx | 72 hr |
Fig. 1.
Venn diagrams demonstrating overlap of filter differentially expressed genes (log fold change ≥ |0.3| & FDR-adjusted p-value ≤ 0.05) at the same time points between PCB52- and 4-OH-PCB-treated preadipocytes.
2. Experimental Design, Materials and Methods
PCB52 was synthesized by reduction of 2,2′,5,5′-tetrachlorobenzidine with hypophosphorous acid [6] and authenticated as described previously [7,8]. 4-OH-PCB52 was synthesized by the Suzuki-coupling reaction of 2,5-dichloro-4-iodoanisole and 2,5-dichlorobenzene boronic acid followed by deprotection of the methoxy group with boron tribromide [9]. The Synthesis core of the Iowa Superfund Research Program provided the study compounds.
We used immortalized human preadipocytes called NPADs (Normal PreADipocytes) and cultured them as previously described [1,2,10,11]. Cells were treated as described previously [1,2,11] using dimethyl sulfoxide (DMSO), 10 µM PCB52, or 10 µM 4-OH-PCB52 dissolved in DMSO. The level of DMSO was held constant in all conditions at a level of 0.1% (v/v). The DMSO or toxicant-containing media remained on the cells until RNA harvesting. RNA was isolated as previously described [2,11]. Treatment conditions and treatment durations were repeated 4 times to provide biological replicates. RNA quality was assessed by using an Agilent Bioanalyzer. Any samples with RNA integrity numbers below 8 were excluded from further analysis. This resulted in one sample of 4-OH-PCB52 treated cells at the Day 3 time point to be eliminated from further analysis.
RNA library preparation, RNA sequencing, data processing, and differential gene expression analysis were performed exactly as described previously in the original Data in Brief article [1]. To generate Venn diagrams, DEGs were exported to iPathwayGuide (Advaita). Meta-Analysis in the iPathwayGuide software was used to determine what DEGs overlapped between treatments and time points to generate Venn diagrams.
Ethics Statements
This manuscript complies with ethical publishing guidelines and does not involve human subjects. The NPAD cell line utilized in this study is an immortal cell line that has been previously published [9] and was developed from de-identified primary preadipocytes that were obtained by consent and purchased from Lonza.
CRediT authorship contribution statement
Francoise A. Gourronc: Conceptualization, Methodology, Investigation, Data curation, Writing – original draft. Michael S. Chimenti: Data curation, Writing – original draft. Hans-Joachim Lehmler: Resources, Funding acquisition. James A. Ankrum: Conceptualization, Writing – original draft, Funding acquisition. Aloysius J. Klingelhutz: Conceptualization, Methodology, Investigation, Data curation, Writing – original draft, Supervision, Funding acquisition.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
The RNAseq sample data collection and data analyses were conducted in the Genomics and Bioinformatics Divisions of the Iowa Institute of Human Genetics, which receives support from the University of Iowa Carver College of Medicine and the Holden Comprehensive Cancer Center. This research was funded by NIH P42 ES013661 (AJK, JAA, HJL) and a pilot grant from the Environmental Health Research Center P30 ES005605 (AJK, JAA, HJL). The Holden Comprehensive Cancer Center is funded by the National Cancer Institute of the National Institutes of Health under Award Number P30 CA086862.
Footnotes
Refers to: Gourronc FA, Helm BK, Robertson LW, Chimenti MS, Lehmler HJ, Ankrum JA, Klingelhutz AJ. Dataset of transcriptomic changes that occur in human preadipocytes over a 3-day course of exposure to 3,3′,4,4′,5-Pentachlorobiphenyl (PCB126). Data Brief. 2022 Sep 1;45:108571. doi: 10.1016/j.dib.2022.108571. PMID: 36131953; PMCID: PMC9483567.
Data Availability
Human Preadipocyte Response to PCB52 or 4-OH-PCB52 (Original data) (Gene Expression Omnibus).
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Human Preadipocyte Response to PCB52 or 4-OH-PCB52 (Original data) (Gene Expression Omnibus).

