Evidence map›Paper›PMID 35615540›Full record

ArticleFrontiers in toxicology2022

Comparative Toxicotranscriptomics of Single Cell RNA-Seq and Conventional RNA-Seq in TCDD-Exposed Testicular Tissue.

Alex Haimbaugh, Danielle Meyer, Camille Akemann, Katherine Gurdziel, Tracie R Baker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. State of the Art of Genomic Technology in Toxicology: A Review.International journal of molecular sciences · 2023
    Review
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Alex HaimbaughDepartment of Pharmacology, School of Medicine, Wayne State University, Detroit, MI, United States.
Danielle MeyerDepartment of Pharmacology, School of Medicine, Wayne State University, Detroit, MI, United States.
Camille AkemannDepartment of Pharmacology, School of Medicine, Wayne State University, Detroit, MI, United States.
Katherine GurdzielGenome Sciences Core, Office of the Vice President for Research, Wayne State University, Detroit, MI, United States.
Tracie R BakerDepartment of Pharmacology, School of Medicine, Wayne State University, Detroit, MI, United States.
Wayne State University · US

Funding

Pilot Project ProgramP30ES020957 · NIEHS · WAYNE STATE UNIVERSITY · PI RUDEN, DOUGLAS M · 2014 to 2021
$10.1M
Genetic and epigenetic mechanisms of infertility caused by endocrine disrupting chemicalsR01ES030722 · NIEHS · WAYNE STATE UNIVERSITY · PI BAKER, TRACIE R · 2020 to 2025
$2.1M
Investigating the Developmental Mechanisms of TCDD-Induced Reproductive DysregulationF31ES030278 · NIEHS · WAYNE STATE UNIVERSITY · PI MEYER, DANIELLE · 2019 to 2021
$129k
NIEHS NIH HHS F31 ES030278NIEHS NIH HHS P30 ES020957NIEHS NIH HHS R01 ES030722
6 · The paper itself

Abstract

In this report, we compare the outcomes and limitations of two methods of transcriptomic inquiry on adult zebrafish testes exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) during sexual differentiation: conventional or bulk RNA-seq (bulk-seq) and single cell RNA sequencing (scRNA-seq) data. scRNA-seq has emerged as a valuable tool for uncovering cell type-specific transcriptome dynamics which exist in heterogeneous tissue. Our lab previously showed the toxicological value of the scRNA-seq pipeline to characterize the sequelae of TCDD exposure in testes, demonstrating that loss of spermatids and spermatozoa, but not other cell types, contributed to the pathology of infertility in adult male zebrafish exposed during sexual differentiation. To investigate the potential for technical artifacts in scRNA-seq such as cell dissociation effects and reduced transcriptome coverage, we compared bulk-sequenced and scRNA-seq-paired samples from control and TCDD-exposed samples to understand what is gained and lost in scRNA-seq vs bulk-seq, both transcriptomically and toxicologically. We hypothesized that the testes may be sensitive to tissue disruption as they contain multiple cell types under constant division and/or maturation, and that TCDD exposure may mediate the extent of sensitivity. Thus, we sought to understand the extent to which this dissociation impacts the toxicological value of data returned from scRNA-seq. We confirm that the required dissociation of individual cells from intact tissue has a significant impact on gene expression, affecting gene pathways with the potential to confound toxicogenomics studies on exposures if findings are not well-controlled and well-situated in context. Additionally, a common scRNA-seq method using cDNA amplified from the 3' end of mRNA under-detects low-expressing transcripts including transcription factors. We confirm this, and show TCDD-related genes may be overlooked by scRNA-seq, however, this under-detection effect is not mediated by TCDD exposure. Even so, scRNA-seq generally extracted toxicologically relevant information better than the bulk-seq method in the present study. This report aims to inform future experimental design for transcriptomic investigation in the growing field of toxicogenomics by demonstrating the differential information extracted from sequencing cells-despite being from the same tissue and exposure scheme-is influenced by the specific protocol used, with implications for the interpretation of exposure-induced risk.

Indexed as

bulk-seqexposurepseudo bulk-seqscRNA-seq dropoutsingle cell RNA-seqTCDDtranscriptome

Identifiers

PMID35615540
PMCPMC9126299
OpenAlexW4229370411

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.