Cancer‐Associated Fibroblast‐Induced Remodeling of Tumor Microenvironment in Recurrent Bladder Cancer DOI Creative Commons
Ting Liang,

Tao Tao,

Kai Wu

et al.

Advanced Science, Journal Year: 2023, Volume and Issue: 10(31)

Published: Sept. 24, 2023

Bladder carcinoma (BC) recurrence is a major clinical challenge, and targeting the tumor microenvironment (TME) promising therapy. However, relationship between individual TME components, particularly cancer-associated fibroblasts (CAFs), unclear. Here, heterogeneity in primary recurrent BC investigated using single-cell RNA sequence profiling of 62 460 cells. Two cancer stem cell (CSC) subtypes are identified BC. An inflammatory CAF subtype, ICAM1+ iCAFs, specifically associated with also identified. iCAFs found to secrete FGF2, which acts on CD44 receptor rCSC-M, thereby maintaining stemness epithelial-mesenchymal transition. Additionally, THBS1+ monocytes, group myeloid-derived suppressor cells (MDSCs), enriched interacted CAFs. CCL2, binds CCR2 MDSCs. Moreover, elevated STAT3, NFKB2, VEGFA, CTGF levels reshape tumors. CCL2 inhibition an situ mouse model suppressed growth, decreased MDSCs Tregs, fostered immune suppression. The study results highlight role cell-cell crosstalk during identification pivotal signaling factors driving relapse for development novel therapies.

Language: Английский

Unveiling heterogeneity in MSCs: exploring marker-based strategies for defining MSC subpopulations DOI Creative Commons
Si Chen,

Bowei Liang,

Jianyong Xu

et al.

Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: May 15, 2024

Mesenchymal stem/stromal cells (MSCs) represent a heterogeneous cell population distributed throughout various tissues, demonstrating remarkable adaptability to microenvironmental cues and holding immense promise for disease treatment. However, the inherent diversity within MSCs often leads variability in therapeutic outcomes, posing challenges clinical applications. To address this heterogeneity, purification of MSC subpopulations through marker-based isolation has emerged as promising approach ensure consistent efficacy. In review, we discussed reported markers MSCs, encompassing those developed candidate marker strategies high-throughput approaches, with aim explore viable addressing heterogeneity illuminate prospective research directions field.

Language: Английский

Citations

18
Understanding the Genetic Basis of Variation in Meiotic Recombination: Past, Present, and Future DOI Creative Commons
Susan E. Johnston

Molecular Biology and Evolution, Journal Year: 2024, Volume and Issue: 41(7)

Published: July 1, 2024

Meiotic recombination is a fundamental feature of sexually reproducing species. It often required for proper chromosome segregation and plays important role in adaptation the maintenance genetic diversity. The molecular mechanisms are remarkably conserved across eukaryotes, yet meiotic genes proteins show substantial variation their sequence function, even between closely related Furthermore, rate distribution shows huge diversity within chromosomes, individuals, sexes, populations, This has implications many evolutionary processes, how why this evolved not well understood. A key step understanding trait evolution to determine its basis-that is, number, effect sizes, loci underpinning variation. In perspective, I discuss past current knowledge on basis distribution, explore implications, present open questions future research.

Language: Английский

Citations

17
Leveraging Single-Cell Multi-Omics to Decode Tumor Microenvironment Diversity and Therapeutic Resistance DOI Creative Commons
Hussein Sabit, Borros Arneth, Timothy M. Pawlik

et al.

Pharmaceuticals, Journal Year: 2025, Volume and Issue: 18(1), P. 75 - 75

Published: Jan. 10, 2025

Recent developments in single-cell multi-omics technologies have provided the ability to identify diverse cell types and decipher key components of tumor microenvironment (TME), leading important advancements toward a much deeper understanding how heterogeneity contributes cancer progression therapeutic resistance. These are able integrate data from molecular genomic, transcriptomic, proteomics, metabolomics studies cells at resolution scale that give rise full cellular complexity TME. Understanding complex sometimes reciprocal relationships among cells, CAFs, immune ECs has led novel insights into their immense functions, which can consequences on behavior. In-depth uncovered evasion mechanisms, including exhaustion T metabolic reprogramming response hypoxia cells. Single-cell also revealed resistance such as stromal cell-secreted factors physical barriers extracellular matrix. Future examining specific pathways targeting approaches reduce TME will likely lead better outcomes with immunotherapies, drug delivery, etc., for treatments. incorporate data, spatial micro-environments, translation personalized therapies. This review emphasizes provide TME, revealing reprogramming, influences. aim guide development targeted therapies, highlighting role diversity shaping behavior treatment outcomes.

Language: Английский

Citations

6
Functional diversity of cardiac macrophages in health and disease DOI Creative Commons
Steven Yang, Vinay Penna, Kory J. Lavine

et al.

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

Published: Jan. 2, 2025

Language: Английский

Citations

2
YTHDF2-mediated m6A modification of ONECUT2 promotes stemness and oxaliplatin resistance in gastric cancer through transcriptionally activating TFPI DOI

Xingdi Fan,

Fangyi Han,

Haocheng Wang

et al.

Drug Resistance Updates, Journal Year: 2025, Volume and Issue: 79, P. 101200 - 101200

Published: Jan. 2, 2025

Language: Английский

Citations

2
Integrative Multi-Omics Approaches for Identifying and Characterizing Biological Elements in Crop Traits: Current Progress and Future Prospects DOI Open Access

Bing-Liang Fan,

L. CHEN, Lingling Chen

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(4), P. 1466 - 1466

Published: Feb. 10, 2025

The advancement of multi-omics tools has revolutionized the study complex biological systems, providing comprehensive insights into molecular mechanisms underlying critical traits across various organisms. By integrating data from genomics, transcriptomics, metabolomics, and other omics platforms, researchers can systematically identify characterize elements that contribute to phenotypic traits. This review delves recent progress in applying approaches elucidate genetic, epigenetic, metabolic networks associated with key plants. We emphasize potential these integrative strategies enhance crop improvement, optimize agricultural practices, promote sustainable environmental management. Furthermore, we explore future prospects field, underscoring importance cutting-edge technological advancements need for interdisciplinary collaboration address ongoing challenges. bridging this aims provide a holistic framework advancing research plant biology agriculture.

Language: Английский

Citations

2
Cancer associated fibroblasts in cancer development and therapy DOI Creative Commons

Hongyuan Jia,

Xingmin Chen,

Linling Zhang

et al.

Journal of Hematology & Oncology, Journal Year: 2025, Volume and Issue: 18(1)

Published: March 28, 2025

Cancer-associated fibroblasts (CAFs) are key players in cancer development and therapy, they exhibit multifaceted roles the tumor microenvironment (TME). From their diverse cellular origins, CAFs undergo phenotypic functional transformation upon interacting with cells presence can adversely influence treatment outcomes severity of cancer. Emerging evidence from single-cell RNA sequencing (scRNA-seq) studies have highlighted heterogeneity plasticity CAFs, subtypes identifiable through distinct gene expression profiles properties. multiple mechanisms, including regulation extracellular matrix (ECM) remodeling, direct promotion growth provision metabolic support, promoting epithelial-mesenchymal transition (EMT) to enhance invasiveness growth, as well stimulating stem cell properties within tumor. Moreover, induce an immunosuppressive TME contribute therapeutic resistance. In this review, we summarize fundamental knowledge recent advances regarding focusing on sophisticated potential targets. We discuss various strategies target ECM modulation, elimination, interruption CAF-TME crosstalk, CAF normalization, approaches developing more effective treatments. An improved understanding complex interplay between is crucial for new targeted therapies

Language: Английский

Citations

2
Ushering in a new era of single-cell transcriptomics in bacteria DOI Creative Commons
Christina Homberger, Lars Barquist, Jörg Vogel

et al.

microLife, Journal Year: 2022, Volume and Issue: 3

Published: Jan. 1, 2022

Abstract Transcriptome analysis of individual cells by single-cell RNA-seq (scRNA-seq) has become routine for eukaryotic tissues, even being applied to whole multicellular organisms. In contrast, developing methods read the transcriptome single bacterial proven more challenging, despite a general perception bacteria as much simpler than eukaryotes. Bacterial are harder lyse, their RNA content is about two orders magnitude lower that cells, and mRNAs less stable counterparts. Most importantly, transcripts lack functional poly(A) tails, precluding simple adaptation popular standard scRNA-seq protocols come with double advantage specific mRNA amplification concomitant depletion rRNA. However, thanks very recent breakthroughs in methodology, now feasible. This short review will discuss recently published approaches (MATQ-seq, microSPLiT, PETRI-seq) spatial transcriptomics approach based on multiplexed situ hybridization (par-seqFISH). Together, these novel not only enable new understanding cell-to-cell variation gene expression, they also promise microbiology enabling high-resolution profiling activity complex microbial consortia such microbiome or pathogens invade, replicate, persist host tissue.

Language: Английский

Citations

46
Unveiling the future of metabolic medicine: omics technologies driving personalized solutions for precision treatment of metabolic disorders DOI
Samradhi Singh, Devojit Kumar Sarma, Vinod Verma

et al.

Biochemical and Biophysical Research Communications, Journal Year: 2023, Volume and Issue: 682, P. 1 - 20

Published: Sept. 29, 2023

Language: Английский

Citations

40
Rapid, One-Step Sample Processing for Label-Free Single-Cell Proteomics DOI

S. Madisyn Johnston,

Kei G. I. Webber,

Xiaofeng Xie

et al.

Journal of the American Society for Mass Spectrometry, Journal Year: 2023, Volume and Issue: 34(8), P. 1701 - 1707

Published: July 6, 2023

Sample preparation for single-cell proteomics is generally performed in a one-pot workflow with multiple dispensing and incubation steps. These hours-long processes can be labor intensive lead to long sample-to-answer times. Here we report sample method that achieves cell lysis, protein denaturation, digestion 1 h using commercially available high-temperature-stabilized proteases single reagent step. Four different one-step compositions were evaluated, the mixture providing highest proteome coverage was compared previously employed multistep workflow. The increases relative previous while minimizing input possibility of human error. We also recovery between used microfabricated glass nanowell chips injection-molded polypropylene found provided improved coverage. Combined, substrates enabled identification an average nearly 2400 proteins per standard data-dependent Orbitrap mass spectrometers. advances greatly simplify broaden accessibility no compromise terms

Language: Английский

Citations

32