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Identification and control for the effects of bioinformatic globin depletion on human RNA-seq differential expression analysis.
Sheerin, Dylan; Lakay, Francisco; Esmail, Hanif; Kinnear, Craig; Sansom, Bianca; Glanzmann, Brigitte; Wilkinson, Robert J; Ritchie, Matthew E; Coussens, Anna K.
Afiliación
  • Sheerin D; Infectious Diseases and Immune Defence Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC, 3052, Australia. sheerin.d@wehi.edu.au.
  • Lakay F; Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia. sheerin.d@wehi.edu.au.
  • Esmail H; Wellcome Centre for Infectious Diseases Research in Africa and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, Cape Town, Western Cape, South Africa.
  • Kinnear C; Vuka Research Clinic, University of Cape Town, Department of Medicine, 8 Mzala Street, Khayelitsha, Cape Town, Western Cape, South Africa.
  • Sansom B; Wellcome Centre for Infectious Diseases Research in Africa and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, Cape Town, Western Cape, South Africa.
  • Glanzmann B; MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, London, WC1V 6LJ, UK.
  • Wilkinson RJ; Institute for Global Health, University College London, London, WC1E 6JB, UK.
  • Ritchie ME; South African Medical Research Council Genomics Centre, Francie Van Zijl Drive, Parow Valley, Cape Town, Western Cape, South Africa.
  • Coussens AK; South African Medical Research Council Genomics Centre, Francie Van Zijl Drive, Parow Valley, Cape Town, Western Cape, South Africa.
Sci Rep ; 13(1): 1859, 2023 02 01.
Article en En | MEDLINE | ID: mdl-36725870
When profiling blood samples by RNA-sequencing (RNA-seq), RNA from haemoglobin (Hgb) can account for up to 70% of the transcriptome. Due to considerations of sequencing depth and power to detect biological variation, Hgb RNA is typically depleted prior to sequencing by hybridisation-based methods; an alternative approach is to deplete reads arising from Hgb RNA bioinformatically. In the present study, we compared the impact of these two approaches on the outcome of differential gene expression analysis performed using RNA-seq data from 58 human tuberculosis (TB) patient or contact whole blood samples-29 globin kit-depleted and 29 matched non-depleted-a subset of which were taken at TB diagnosis and at six months post-TB treatment from the same patient. Bioinformatic depletion of Hgb genes from the non-depleted samples (bioinformatic-depleted) substantially reduced library sizes (median = 57.24%) and fewer long non-coding, micro, small nuclear and small nucleolar RNAs were captured in these libraries. Profiling published TB gene signatures across all samples revealed inferior correlation between kit-depleted and bioinformatic-depleted pairs when the proportion of reads mapping to Hgb genes was higher in the non-depleted sample, particularly at the TB diagnosis time point. A set of putative "globin-fingerprint" genes were identified by directly comparing kit-depleted and bioinformatic-depleted samples at each timepoint. Two TB treatment response signatures were also shown to have decreased differential performance when comparing samples at TB diagnosis to six months post-TB treatment when profiled on the bioinformatic-depleted samples compared with their kit-depleted counterparts. These results demonstrate that failure to deplete Hgb RNA prior to sequencing has a negative impact on the sensitivity to detect disease-relevant gene expression changes even when bioinformatic removal is performed.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Hemoglobinas / ARN / Perfilación de la Expresión Génica Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Hemoglobinas / ARN / Perfilación de la Expresión Génica Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Australia