Integrated proteomic and transcriptomic landscape of human placenta in small for gestational age infants

Small for gestational age (SGA) infants affected by placental insufficiency are exposed to the risk of stillbirth and long-term complications. Based on RNA-seq and mass spectrometry, we identified dysregulated RNAs and proteins from the comparisons of SGA placental tissues and controls. We revealed two SGA-relevant co-expression modules (SRMs) that also significantly distinguished SGA from controls. Then we performed an integrated analysis of transcriptomic and proteomic profiles to trace their links to SGA as well as their significant correlations. For the core functional molecules we screened, we revealed their potential upstream regulators and validated them experimentally in an independent cohort. Overall, we pointed out insights into different molecular pathways for the pathological mechanisms of SGA and indicated potential target molecules that may be drivers of placental aberrations in the SGA infants.

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Publication Details

Journal
iScience
Published
2024-11-19
DOI
https://doi.org/10.1016/j.isci.2024.111423
Citations
2
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
1.17

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article

Integrated proteomic and transcriptomic landscape of human placenta in small for gestational age infants

Qunan Wang, Heyue Jin, Yumin Zhu, Xianyan Wang et al.
2 citations
iScience
Pregnancy and preeclampsia studies
1.17
article

Integrated proteomic and transcriptomic landscape of human placenta in small for gestational age infants

Qunan Wang, Heyue Jin, Yumin Zhu, Xianyan Wang, Fangbiao Tao, Rui Chen, Lingyu Li, Hong Gan
article en
2 citations

Abstract

Small for gestational age (SGA) infants affected by placental insufficiency are exposed to the risk of stillbirth and long-term complications. Based on RNA-seq and mass spectrometry, we identified dysregulated RNAs and proteins from the comparisons of SGA placental tissues and controls. We revealed two SGA-relevant co-expression modules (SRMs) that also significantly distinguished SGA from controls. Then we performed an integrated analysis of transcriptomic and proteomic profiles to trace their links to SGA as well as their significant correlations. For the core functional molecules we screened, we revealed their potential upstream regulators and validated them experimentally in an independent cohort. Overall, we pointed out insights into different molecular pathways for the pathological mechanisms of SGA and indicated potential target molecules that may be drivers of placental aberrations in the SGA infants.

iScienceVol. 27(12)
Anhui Medical University (CN), Nanjing Medical University (CN), Nanjing University (CN)
National Natural Science Foundation of China, Anhui Medical University, Natural Science Foundation of Anhui Province, Fundamental Research Funds for the Central Universities
Zero hunger
Openalex Percentile: Top 19%
Pregnancy and preeclampsia studies
1.17
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