Cargando…

Cellular Complexity of Hemochorial Placenta: Stem Cell Populations, Insights from scRNA-seq, and SARS-CoV-2 Susceptibility

PURPOSE OF REVIEW: The placenta is a transient organ that forms de novo and serves a critical role in supporting fetal growth and development. Placental oxygen, nutrients, and waste are transported through processes that depend on vascular structure and cell type-specific expression and localization...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mallery, Christopher S., Carrillo, Maira, Mei, Ariel, Correia-Branco, Ana, Kashpur, Olga, Wallingford, Mary C.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2021
Materias:	Stem Cell Switches and Regulators (K Hirschi and N Genet, Section Editors)
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527817/ https://www.ncbi.nlm.nih.gov/pubmed/34697582 http://dx.doi.org/10.1007/s40778-021-00194-6

Ejemplares similares

Extracellular Matrix Regulation of Stem Cell Behavior
por: Ahmed, Maqsood, et al.
Publicado: (2016)

Multifaceted Roles of Connexin 43 in Stem Cell Niches
por: Genet, Nafiisha, et al.
Publicado: (2018)

Choosing Cell Fate Through a Dynamic Cell Cycle
por: Chen, Xinyue, et al.
Publicado: (2015)

scX: A user-friendly tool for scRNA-seq exploration
por: Waichman, Tomás Vega, et al.
Publicado: (2023)

ScRNA-seq and ST-seq in liver research
por: He, Jia, et al.
Publicado: (2023)

scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing
por: Li, Kejie, et al.
Publicado: (2023)

Computational approaches for interpreting scRNA‐seq data
por: Rostom, Raghd, et al.
Publicado: (2017)

Cerebro: interactive visualization of scRNA-seq data
por: Hillje, Roman, et al.
Publicado: (2020)

Compression of quantification uncertainty for scRNA-seq counts
por: Van Buren, Scott, et al.
Publicado: (2021)

scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data
por: Wang, HaiYun, et al.
Publicado: (2022)

scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization
por: Yan, Xuhua, et al.
Publicado: (2023)

Exploring PANoptosis in breast cancer based on scRNA-seq and bulk-seq
por: He, Puxing, et al.
Publicado: (2023)

Comparison and evaluation of statistical error models for scRNA-seq
por: Choudhary, Saket, et al.
Publicado: (2022)

Contrastive self-supervised clustering of scRNA-seq data
por: Ciortan, Madalina, et al.
Publicado: (2021)

Probing regenerative heterogeneity of corticospinal neurons with scRNA-Seq
por: Kim, Hugo, et al.
Publicado: (2023)

Domain adaptation for supervised integration of scRNA-seq data
por: Sun, Yutong, et al.
Publicado: (2023)

A statistical simulator scDesign for rational scRNA-seq experimental design
por: Li, Wei Vivian, et al.
Publicado: (2019)

scDART: integrating unmatched scRNA-seq and scATAC-seq data and learning cross-modality relationship simultaneously
por: Zhang, Ziqi, et al.
Publicado: (2022)

LRT: Integrative analysis of scRNA-seq and scTCR-seq data to investigate clonal differentiation heterogeneity
por: Xie, Juan, et al.
Publicado: (2023)

Cell lineage inference from SNP and scRNA-Seq data
por: Ding, Jun, et al.
Publicado: (2019)

SpaGE: Spatial Gene Enhancement using scRNA-seq
por: Abdelaal, Tamim, et al.
Publicado: (2020)

Iterative point set registration for aligning scRNA-seq data
por: Alavi, Amir, et al.
Publicado: (2020)

Automated methods for cell type annotation on scRNA-seq data
por: Pasquini, Giovanni, et al.
Publicado: (2021)

Improved SNV Discovery in Barcode-Stratified scRNA-seq Alignments
por: N. M., Prashant, et al.
Publicado: (2021)

Using topic modeling to detect cellular crosstalk in scRNA-seq
por: Pancheva, Alexandrina, et al.
Publicado: (2022)

Intrinsic entropy model for feature selection of scRNA-seq data
por: Li, Lin, et al.
Publicado: (2022)

deMULTIplex2: robust sample demultiplexing for scRNA-seq
por: Zhu, Qin, et al.
Publicado: (2023)

Visualizing scRNA-Seq Data at Population Scale with GloScope
por: Wang, Hao, et al.
Publicado: (2023)

scRNA‐seq data analysis method to improve analysis performance
por: Lu, Junru, et al.
Publicado: (2023)

scGCL: an imputation method for scRNA-seq data based on graph contrastive learning
por: Xiong, Zehao, et al.
Publicado: (2023)

scAWMV: an adaptively weighted multi-view learning framework for the integrative analysis of parallel scRNA-seq and scATAC-seq data
por: Zeng, Pengcheng, et al.
Publicado: (2022)

Direct-seq: programmed gRNA scaffold for streamlined scRNA-seq in CRISPR screen
por: Song, Qingkai, et al.
Publicado: (2020)

TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq
por: Shichino, Shigeyuki, et al.
Publicado: (2022)

Integrating RNA-seq and scRNA-seq to explore the mechanism of macrophage ferroptosis associated with COPD
por: Fan, Pengbei, et al.
Publicado: (2023)

Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps
por: Jansen, Camden, et al.
Publicado: (2019)

dropClust: efficient clustering of ultra-large scRNA-seq data
por: Sinha, Debajyoti, et al.
Publicado: (2018)

Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
por: Mukherjee, Sumit, et al.
Publicado: (2018)

Obstacles to detecting isoforms using full-length scRNA-seq data
por: Westoby, Jennifer, et al.
Publicado: (2020)

Inferring TF activation order in time series scRNA-Seq studies
por: Lin, Chieh, et al.
Publicado: (2020)

Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data
por: Torroja, Carlos, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_vluk6bd3sa3l2heht6modu25n0