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


10.2217/epi-2020-0168

http://scihub22266oqcxt.onion/10.2217/epi-2020-0168
suck pdf from google scholar
33242255!7714049!33242255
unlimited free pdf from europmc33242255    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid33242255      Epigenomics 2020 ; 12 (22): 1969-1981
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • An integrative analysis identifying transcriptional features and key genes involved in COVID-19 #MMPMID33242255
  • Li G; Wang J; He X; Zhang L; Ran Q; Xiong A; Wu D; Hu L; Song Q; Zhu D
  • Epigenomics 2020[Nov]; 12 (22): 1969-1981 PMID33242255show ga
  • Aim: To elucidate the transcriptional characteristics of COVID-19. Materials & methods: We utilized an integrative approach to comprehensively analyze the transcriptional features of both COVID-19 patients and SARS-CoV-2 infected cells. Results: Widespread infiltration of immune cells was observed. We identified 233 genes that were codifferentially expressed in both bronchoalveolar lavage fluid and lung samples of COVID-19 patients. Functional analysis suggested upregulated genes were related to immune response such as neutrophil activation and antivirus response, while downregulated genes were associated with cell adhesion. Finally, we identified LCN2, STAT1 and UBE2L6 as core genes during SARS-CoV-2 infection. Conclusion: The identification of core genes involved in COVID-19 can provide us with more insights into the molecular features of COVID-19.
  • |A549 Cells[MESH]
  • |Bronchoalveolar Lavage Fluid/cytology[MESH]
  • |COVID-19/immunology/*pathology[MESH]
  • |Cell Adhesion/genetics/physiology[MESH]
  • |Cell Line, Tumor[MESH]
  • |Cytokines/blood[MESH]
  • |Humans[MESH]
  • |Lipocalin-2/*genetics[MESH]
  • |Lung/immunology[MESH]
  • |Neutrophil Activation/genetics/immunology[MESH]
  • |SARS-CoV-2/genetics/*immunology[MESH]
  • |STAT1 Transcription Factor/*genetics[MESH]
  • |Transcription, Genetic/genetics[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box