Spatial transcriptomics of human placentas reveal distinct RNA patterns associated with morphology and preeclampsia

Nayanika Bhalla; Lovisa Franzén; Annika Scheynius; Nikos Papadogiannakis; Stefan R. Hansson; Susanne Lager; Patrik L. Ståhl

doi:10.1016/j.placenta.2023.07.004

Spatial transcriptomics of human placentas reveal distinct RNA patterns associated with morphology and preeclampsia

Nayanika Bhalla, Lovisa Franzén, Annika Scheynius, Nikos Papadogiannakis, Stefan R. Hansson, Susanne Lager, Patrik L. Ståhl

Research output: Contribution to journal › Article › peer-review

Abstract

Spatial transcriptomics (ST) maps RNA level patterns within a tissue. This technology has not been previously applied to human placental tissue. We demonstrate analysis of human placental samples with ST. Unsupervised clustering revealed that distinct RNA patterns were found corresponding to different morphological structures. Additionally, when focusing upon terminal villi and hemoglobin associated structures, RNA levels differed between placentas from full term healthy pregnancies and those complicated by preeclampsia. The results from this study can provide a benchmark for future ST studies in placenta.

Original language	English
Pages (from-to)	213-216
Number of pages	4
Journal	Placenta
Volume	139
DOIs	https://doi.org/10.1016/j.placenta.2023.07.004
Publication status	Published - 2023 Aug

Subject classification (UKÄ)

Obstetrics, Gynecology and Reproductive Medicine

Free keywords

Differential gene expression
Hemoglobin
Morphology
Oxidoreductase pathway
Placenta
Preeclampsia
Pregnancy complications
Spatial transcriptomics
Villi

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.placenta.2023.07.004

Cite this

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title = "Spatial transcriptomics of human placentas reveal distinct RNA patterns associated with morphology and preeclampsia",

abstract = "Spatial transcriptomics (ST) maps RNA level patterns within a tissue. This technology has not been previously applied to human placental tissue. We demonstrate analysis of human placental samples with ST. Unsupervised clustering revealed that distinct RNA patterns were found corresponding to different morphological structures. Additionally, when focusing upon terminal villi and hemoglobin associated structures, RNA levels differed between placentas from full term healthy pregnancies and those complicated by preeclampsia. The results from this study can provide a benchmark for future ST studies in placenta.",

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author = "Nayanika Bhalla and Lovisa Franz{\'e}n and Annika Scheynius and Nikos Papadogiannakis and Hansson, {Stefan R.} and Susanne Lager and St{\aa}hl, {Patrik L.}",

year = "2023",

month = aug,

doi = "10.1016/j.placenta.2023.07.004",

language = "English",

volume = "139",

pages = "213--216",

journal = "Placenta",

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publisher = "W.B. Saunders",

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TY - JOUR

T1 - Spatial transcriptomics of human placentas reveal distinct RNA patterns associated with morphology and preeclampsia

AU - Bhalla, Nayanika

AU - Franzén, Lovisa

AU - Scheynius, Annika

AU - Papadogiannakis, Nikos

AU - Hansson, Stefan R.

AU - Lager, Susanne

AU - Ståhl, Patrik L.

PY - 2023/8

Y1 - 2023/8

N2 - Spatial transcriptomics (ST) maps RNA level patterns within a tissue. This technology has not been previously applied to human placental tissue. We demonstrate analysis of human placental samples with ST. Unsupervised clustering revealed that distinct RNA patterns were found corresponding to different morphological structures. Additionally, when focusing upon terminal villi and hemoglobin associated structures, RNA levels differed between placentas from full term healthy pregnancies and those complicated by preeclampsia. The results from this study can provide a benchmark for future ST studies in placenta.

AB - Spatial transcriptomics (ST) maps RNA level patterns within a tissue. This technology has not been previously applied to human placental tissue. We demonstrate analysis of human placental samples with ST. Unsupervised clustering revealed that distinct RNA patterns were found corresponding to different morphological structures. Additionally, when focusing upon terminal villi and hemoglobin associated structures, RNA levels differed between placentas from full term healthy pregnancies and those complicated by preeclampsia. The results from this study can provide a benchmark for future ST studies in placenta.

KW - Differential gene expression

KW - Hemoglobin

KW - Morphology

KW - Oxidoreductase pathway

KW - Placenta

KW - Preeclampsia

KW - Pregnancy complications

KW - Spatial transcriptomics

KW - Villi

U2 - 10.1016/j.placenta.2023.07.004

DO - 10.1016/j.placenta.2023.07.004

M3 - Article

C2 - 37481829

AN - SCOPUS:85165700790

SN - 0143-4004

VL - 139

SP - 213

EP - 216

JO - Placenta

JF - Placenta

ER -

Spatial transcriptomics of human placentas reveal distinct RNA patterns associated with morphology and preeclampsia

Abstract

Subject classification (UKÄ)

Free keywords

UN SDGs

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