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


10.1183/16000617.0056-2022

http://scihub22266oqcxt.onion/10.1183/16000617.0056-2022
suck pdf from google scholar
35896273!9724811!35896273
unlimited free pdf from europmc35896273    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid35896273      Eur+Respir+Rev 2022 ; 31 (165): ä
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • A pulmonologist s guide to perform and analyse cross-species single lung cell transcriptomics #MMPMID35896273
  • Pennitz P; Kirsten H; Friedrich VD; Wyler E; Goekeri C; Obermayer B; Heinz GA; Mashreghi MF; Buttner M; Trimpert J; Landthaler M; Suttorp N; Hocke AC; Hippenstiel S; Tonnies M; Scholz M; Kuebler WM; Witzenrath M; Hoenzke K; Nouailles G
  • Eur Respir Rev 2022[Sep]; 31 (165): ä PMID35896273show ga
  • Single-cell ribonucleic acid sequencing is becoming widely employed to study biological processes at a novel resolution depth. The ability to analyse transcriptomes of multiple heterogeneous cell types in parallel is especially valuable for cell-focused lung research where a variety of resident and recruited cells are essential for maintaining organ functionality. We compared the single-cell transcriptomes from publicly available and unpublished datasets of the lungs in six different species: human (Homo sapiens), African green monkey (Chlorocebus sabaeus), pig (Sus domesticus), hamster (Mesocricetus auratus), rat (Rattus norvegicus) and mouse (Mus musculus) by employing RNA velocity and intercellular communication based on ligand-receptor co-expression, among other techniques. Specifically, we demonstrated a workflow for interspecies data integration, applied a single unified gene nomenclature, performed cell-specific clustering and identified marker genes for each species. Overall, integrative approaches combining newly sequenced as well as publicly available datasets could help identify species-specific transcriptomic signatures in both healthy and diseased lung tissue and select appropriate models for future respiratory research.
  • |*Pulmonologists[MESH]
  • |*Transcriptome[MESH]
  • |Animals[MESH]
  • |Base Sequence[MESH]
  • |Chlorocebus aethiops[MESH]
  • |Cricetinae[MESH]
  • |Humans[MESH]
  • |Lung[MESH]
  • |Mice[MESH]
  • |Rats[MESH]
  • |Species Specificity[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box