Cell type and region-specific transcriptional changes in the endometrium of women with RIF identify potential treatment targets DOI Creative Commons
Nicola Tempest, Jamie Soul, Christopher J. Hill

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(11)

Published: March 10, 2025

Recurrent implantation failure (RIF) is a devastating condition that leaves many undergoing fertility treatment childless. The human endometrium receptive to blastocyst for brief period, the window of implantation. Critical knowledge underpinning biological processes leading RIF, essential effective treatment, lacking. We employed spatial transcriptomics define region- and cell-type-specific differences in endometrial gene expression luteinizing hormone timed biopsies between women with RIF (n = 8) fertile controls (FC) 8). Differentially expressed genes (DEGs) were identified when comparing regions FC (685 luminal epithelium, 293 glandular 419 subluminal stroma, 264 functionalis 1,125 stromal CD45 + leukocytes, 1,049 CD56 leukocytes). Only 57 DEGs common all subregions cell types, which highlights multiple are lost examined as single entity. When RIF-specific leveraged against from mouse genetic models, associated aberrant embryo phenotypes observed, mostly immune populations. Dysregulated pathways specific included “WNT signaling pathway,” altered stroma. “Response estradiol” “ovulation cycle” dysregulated In silico drug screening potential compounds can reverse profile (e.g., raloxifene, bisoprolol). Our findings, well-characterized cohort, highly endorse consideration each region type separate entities. Ignoring individual composite populations will overlook important aberrations, forego targets, lead research waste pursuing clinically irrelevant options.

Language: Английский

Single-cell omics in tracing cellular heterogeneity of drug-induced liver injury: Technological landscape and prospective application DOI Creative Commons
Xia Mao, Mingzhu Xu,

Xiangying Yan

et al.

hLife, Journal Year: 2024, Volume and Issue: 2(7), P. 325 - 341

Published: Jan. 25, 2024

Drug-induced liver injury (DILI) remains a serious problem in clinics for both diagnoses and treatment decisions. It is result of accumulated drugs human bodies metabolized into toxic constituents generating reactive metabolites, then arise initial consequences oxidative stress, organelle stress responses lethal (liver necrosis or apoptosis). However, the idiosyncratic nature DILI complexes its mechanistic studies still little known potential etiopathogenesis certain. Single cell omics technology approaches serve as powerful tools investigating cellular heterogeneity relationships from measurements up to millions individual cells at an unprecedented resolution, which are achieved by advances genome, epigenome, transcriptome, proteome, metabolism technologies. As contains heterogeneous types distinct spatial, molecular, functional properties, they interact with each other proceed type-specific reprogramming play irreplaceable role properties upon encountering insults. omics, especially single transcriptomics proteomics, have been utilized exploring mechanisms prediction risk factors. In this review, we discuss recent development future perspectives omics-based technologies DILI-related research.

Language: Английский

Citations

4

A practical guide to spatial transcriptomics DOI
Lukás Valihrach, Daniel Žucha, Pavel Abaffy

et al.

Molecular Aspects of Medicine, Journal Year: 2024, Volume and Issue: 97, P. 101276 - 101276

Published: May 21, 2024

Language: Английский

Citations

4

CXCL14 in prostate cancer: complex interactions in the tumor microenvironment and future prospects DOI Creative Commons
Lei Tang, Xin Chen, Jianquan Hou

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: Jan. 4, 2025

CXCL14 is a highly conserved chemokine expressed in various cell types, playing crucial roles both physiological and pathological processes, including immune regulation tumorigenesis. Recently, the role of tumors has attracted considerable attention. However, previous pan-cancer studies have reported inconsistencies regarding effects on tumors, particularly concerning its expression levels tumor tissues influence phenotypes cancer cells. This variability believed to stem from context-dependent nature CXCL14, as different sources secretion within distinct microenvironments may mediate diverse biological effects. Such phenomena also been observed prostate research. Despite foundational understanding cancer, there remains lack comprehensive reviews summarizing specific this systematically analyzing reasons behind complex Therefore, article aims discuss microenvironment explore future research directions potential applications.

Language: Английский

Citations

0

Lessons learned from spatial transcriptomic analyses in clear-cell renal cell carcinoma DOI

J. H. Jespersen,

Cecilie Lindgaard,

Laura Iisager

et al.

Nature Reviews Urology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

Language: Английский

Citations

0

Novel Integration of Spatial and Single-Cell Omics Data Sets Enables Deeper Insights into IPF Pathogenesis DOI Creative Commons
Fei Wang, Liang Jin, Xue Wang

et al.

Proteomes, Journal Year: 2025, Volume and Issue: 13(1), P. 3 - 3

Published: Jan. 13, 2025

Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease characterized by repetitive alveolar injuries with excessive deposition of extracellular matrix (ECM) proteins. A crucial need in understanding IPF pathogenesis identifying cell types associated histopathological regions, particularly local centers known as fibroblast foci. To address this, we integrated published spatial transcriptomics and single-cell RNA sequencing (scRNA-seq) adopted the Query method Overlap to determine type enrichments regions. Distinct are highly foci, transitional 2 aberrant KRT5-/KRT17+ (KRT: keratin) epithelial cells morphologically normal alveoli human lungs. Furthermore, employed laser capture microdissection-directed mass spectrometry profile By comparing another similar dataset, common differentially expressed proteins enriched pathways related ECM structure organization collagen processing were identified Importantly, enrichment results from innovative proteomics scRNA-seq data integration accord those integration, supporting capability versatility entire approach. In summary, multi-omics identify disease-associated potential targets for novel therapies intervention. The approach can be further applied other areas heterogeneity.

Language: Английский

Citations

0

An overview of single-cell high-throughput technology in plants DOI
Lucas Auroux, Lim Chee Liew, Mathew G. Lewsey

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34

Published: Jan. 1, 2025

Language: Английский

Citations

0

Techniques and analytic workflow for spatial transcriptomics and its application to allergy and inflammation DOI
Haihan Zhang, Matthew T. Patrick, Jingyu Zhao

et al.

Journal of Allergy and Clinical Immunology, Journal Year: 2025, Volume and Issue: 155(3), P. 678 - 687

Published: Jan. 19, 2025

Language: Английский

Citations

0

Diffuse Cyclin D1 and SPINK1 Expression in Gastric Oxyntic Gland Neoplasms: Promising Diagnostic Markers Identified by Spatial Transcriptome Analysis DOI
Aya Shinozaki‐Ushiku, Daizo Koinuma, Atsuhito Nakayama

et al.

Modern Pathology, Journal Year: 2025, Volume and Issue: 38(5), P. 100719 - 100719

Published: Jan. 23, 2025

Language: Английский

Citations

0

Spatial Transcriptomics in Human Cardiac Tissue DOI Open Access
Quynh Nguyen, Lin Tung,

Bruce Lin

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(3), P. 995 - 995

Published: Jan. 24, 2025

Spatial transcriptomics has transformed our understanding of gene expression by preserving the spatial context within tissues. This review focuses on application in human cardiac tissues, exploring current technologies with a focus commercially available platforms. We also highlight key studies utilizing to investigate development, electro-anatomy, immunology, and ischemic heart disease. These demonstrate how can be used conjunction other omics provide more comprehensive picture health Despite its transformative potential, comes several challenges that limit widespread adoption broader application. By addressing these limitations fostering interdisciplinary collaboration, potential become an essential tool cardiovascular research. hope this serves as practical guide for researchers interested adopting transcriptomics, particularly those limited prior experience, providing insights into technologies, applications, considerations successful implementation.

Language: Английский

Citations

0

Effect of different Lys/Met ratios in a low-protein diet on the meat quality of Tibetan sheep: A transcriptomics- and metabolomics-based analysis DOI
Fengshuo Zhang, Zhenling Wu, Quyangangmao Su

et al.

Food Research International, Journal Year: 2025, Volume and Issue: 204, P. 115893 - 115893

Published: Jan. 31, 2025

Language: Английский

Citations

0