Evidence map›Paper›PMID 30986076›Full record

ArticleJournal of proteome research2019

Comparative Analysis of the Transcriptome and Proteome during Mouse Placental Development.

Majd Abdulghani, Gaoyuan Song, Haninder Kaur, Justin W Walley, Geetu Tuteja

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. An Integrated Proteomics and Genomics Approach to Identify Essential Protein Kinases During Human Trophoblast Development.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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.

Majd AbdulghaniInterdepartmental Genetics and Genomics , Iowa State University , Ames , Iowa 50011-1079 , United States.
Gaoyuan SongDepartment of Plant Pathology and Microbiology , Iowa State University , Ames , Iowa 50011-1079 , United States.
Haninder KaurDepartment of Genetics, Development, and Cell Biology , Iowa State University , Ames , Iowa 50011-1079 , United States.
Justin W WalleyInterdepartmental Genetics and Genomics , Iowa State University , Ames , Iowa 50011-1079 , United States.
Geetu TutejaInterdepartmental Genetics and Genomics , Iowa State University , Ames , Iowa 50011-1079 , United States.ORCID 0000-0002-8726-9955
Iowa State University · US

Funding

Crosstalk between Brassinosteroid and autophagy pathways in the regulation of plant growth and stress responses: Equipment SupplementR01GM120316 · NIGMS · IOWA STATE UNIVERSITY · PI DIANE C BASSHAM, Justin William Walley · 2017 to 2026
$2.0M
The role of HIF regulated genes and genomic regions in trophoblast invasionR00HD079545 · NICHD · IOWA STATE UNIVERSITY · PI TUTEJA, GEETU · 2015 to 2017
$745k
NICHD NIH HHS R00 HD079545NIGMS NIH HHS R01 GM120316
6 · The paper itself

Abstract

The condition of the placenta is a determinant of the short- and long-term health of the mother and the fetus. However, critical processes occurring in early placental development, such as trophoblast invasion and establishment of placental metabolism, remain poorly understood. To gain a better understanding of the genes involved in regulating these processes, we utilized a multiomics approach, incorporating transcriptome, proteome, and phosphoproteome data generated from mouse placental tissue collected at two critical developmental time points. We found that incorporating information from both the transcriptome and proteome identifies genes associated with time point-specific biological processes, unlike using the proteome alone. We further inferred genes upregulated on the basis of the proteome data but not the transcriptome data at each time point, leading us to identify 27 genes that we predict to have a role in trophoblast migration or placental metabolism. Finally, using the phosphoproteome data set, we discovered novel phosphosites that may play crucial roles in the regulation of placental transcription factors. By generating the largest proteome and phosphoproteome data sets in the developing placenta, and integrating transcriptome analysis, we uncovered novel aspects of placental gene regulation.

Indexed as

Gene Expression Regulation, DevelopmentalProteomeTranscriptomeAmino Acid SequenceAnimalsDatasets as TopicEmbryo, MammalianFemaleGene Expression ProfilingGene OntologyHumansMiceMolecular Sequence AnnotationPhosphoproteinsPlacentaPregnancyPhosphoproteinsProteomeTranscription Factorsdevelopmentmousemultiomicsphosphoproteomicsplacentaproteomicstranscriptomicstrophoblast invasion

Identifiers

PMID30986076
PMCPMC6510480
OpenAlexW2939973050

What OpenQuestion holds

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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.