Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


suck pdf from google scholar
unlimited free pdf from europmc35134150    free
PDF from PMC    free
html from PMC    free
PDF vom PMID35134150 :   free

suck abstract from ncbi

Nephropedia Template TP Text

Twit Text FOAVip

Twit Text #

English Wikipedia

  • SCANNER: a web platform for annotation, visualization and sharing of single cell RNA-seq data #MMPMID35134150
  • Cai G; Yu X; Youn C; Zhou J; Xiao F
  • Database (Oxford) 2022[Jan]; 2022 (ä): ä PMID35134150show ga
  • In recent years, efficient scRNA-seq methods have been developed, enabling the transcriptome profiling of single cells massively in parallel. Meanwhile, its high dimensionality and complexity bring challenges to the data analysis and require extensive collaborations between biologists and bioinformaticians and/or biostatisticians. The communication between these two units demands a platform for easy data sharing and exploration. Here we developed Single-Cell Transcriptomics Annotated Viewer (SCANNER), as a public web resource for the scientific community, for sharing and analyzing scRNA-seq data in a collaborative manner. It is easy-to-use without requiring special software or extensive coding skills. Moreover, it equipped a real-time database for secure data management and enables an efficient investigation of the activation of gene sets on a single-cell basis. Currently, SCANNER hosts a database of 19 types of cancers and COVID-19, as well as healthy samples from lungs of smokers and non-smokers, human brain cells and peripheral blood mononuclear cells (PBMC). The database will be frequently updated with datasets from new studies. Using SCANNER, we identified a larger proportion of cancer-associated fibroblasts cells and more active fibroblast growth-related genes in melanoma tissues in female patients compared to male patients. Moreover, we found ACE2 is mainly expressed in lung pneumocytes, secretory cells and ciliated cells and differentially expressed in lungs of smokers and never smokers.
  • |*COVID-19[MESH]
  • |*Leukocytes, Mononuclear[MESH]
  • |Female[MESH]
  • |Gene Expression Profiling[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |RNA-Seq[MESH]
  • |SARS-CoV-2[MESH]
  • |Sequence Analysis, RNA[MESH]
  • |Single-Cell Analysis[MESH]
  • |Software[MESH]

  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    ä ä.2022 2022