7 Result(s)
within
José Fernández Navarro
-
Article
Identification of early neurodegenerative pathways in progressive multiple sclerosis
Progressive multiple sclerosis (MS) is characterized by unrelenting neurodegeneration, which causes cumulative disability and is refractory to current treatments. Drug development to prevent disease progressio...
-
Article
Open AccessSingle-cell and spatial transcriptomics enables probabilistic inference of cell type topography
The field of spatial transcriptomics is rapidly expanding, and with it the repertoire of available technologies. However, several of the transcriptome-wide spatial assays do not operate on a single cell level,...
-
Article
Open AccessIdentification and transfer of spatial transcriptomics signatures for cancer diagnosis
Distinguishing ductal carcinoma in situ (DCIS) from invasive ductal carcinoma (IDC) regions in clinical biopsies constitutes a diagnostic challenge. Spatial transcriptomics (ST) is an in situ capturing method,...
-
Article
Barcoded solid-phase RNA capture for Spatial Transcriptomics profiling in mammalian tissue sections
Spatial resolution of gene expression enables gene expression events to be pinpointed to a specific location in biological tissue. Spatially resolved gene expression in tissue sections is traditionally analyze...
-
Article
Open AccessCorrection: Corrigendum: An automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries
Scientific Reports 6: Article number: 37137; published online: 16 November 2016; updated: 13 March 2017 This Article contains errors in Figure 6c. The Pearson correlation values for the automated and manually ...
-
Article
Open AccessAn automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries
Sequencing the nucleic acid content of individual cells or specific biological samples is becoming increasingly common. This drives the need for robust, scalable and automated library preparation protocols. Fu...
-
Article
Open AccessMassive and parallel expression profiling using microarrayed single-cell sequencing
Single-cell transcriptome analysis overcomes problems inherently associated with averaging gene expression measurements in bulk analysis. However, single-cell analysis is currently challenging in terms of cost...
