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10.1183/16000617.0056-2022 http://scihub22266oqcxt.onion/10.1183/16000617.0056-2022 35896273!9724811!35896273     free     free     free 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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\35896273.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Eur+Respir+Rev 2022 ; 31 (165): ä Nephropedia Template TP {{tp|p=35896273|t=2022. A pulmonologist s guide to perform and analyse cross-species single lung cell transcriptomics |pdf=|usr=}}{{35896273}} gab.com Text A pulmonologist s guide to perform and analyse cross-species single lung cell transcriptomics JO: Eur Respir Rev http://www.kidney.de/pget.php?&tw=1&pmid=35896273 #FOAvip 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 We compared the single-cell transcriptomes from publicly available and unpublished datasets of the lungs in six different species: human (Homo sapiens), African green monkey (Chlorocebus sabaeus), pig (Sus domesticus), hamster (Mesocricetus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. Twit Text FOAVip A pulmonologist s guide to perform and analyse cross-species single lung cell transcriptomics ????Eur Respir Rev http://www.kidney.de/pget.php?&tw=1&pmid=35896273 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35896273 #FOAvip English Wikipedia <ref>{{Cite pmid|35896273}}</ref> 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]A pulmonologist s guide to perform and analyse cross-species single lu(epmc).pdf DeepDyve Pubget Overpricing