Article

An end-to-end framework for single-cell-resolution, whole-transcriptomic spatial profiling in post-mortem human brain

2026-08-01

Abstract excerpt

Single-cell resolution spatial transcriptomics enables transcriptome-wide molecular profiling within intact tissue architecture, providing unprecedented opportunities to investigate cellular organization and disease-associated molecular states in the human brain. However, applying these technologies to post-mortem human brain tissue remains challenging due to RNA degradation, heterogeneity in tissue preservation,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1476869a-c90f-5f1a-8186-015282971d24
DOI: 10.64898/2026.07.28.740610

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An end-to-end framework for single-cell-resolution, whole-transcriptomic spatial profiling in post-mortem human brainDOI 10.64898/2026.07.28.740610Read

Spatial Multi-Omics Workflow and Analytical Guidelines for Alzheimer’s NeuropathologySemantic proximity Read

Benchmark of cellular deconvolution methods using a multi-assay reference dataset from postmortem human prefrontal cortexSemantic proximity Read

Multiplexed and scalable cellular phenotyping toward the standardized three-dimensional human neuroanatomySemantic proximity Read

A Single-cell and Spatial RNA-seq Database for Alzheimer’s Disease (ssREAD)Semantic proximity Read

snCED-seq: High-fidelity cryogenic enzymatic dissociation of nuclei for single-nucleus RNA-seq of FFPE tissuesSemantic proximity Read

PU.1-driven enrichment enables microglia profiling from frozen brain tissue using the high-throughput Smart-seq3xpress methodSemantic proximity Read

Subcellular Imaging of the Entire Protein Coding Human Transcriptome on FFPE Tissue Using Spatial Molecular ImagingSemantic proximity Read

snCED-seq: High-fidelity cryogenic enzymatic dissociation of nuclei for single-nucleus RNA-seq of FFPE tissuesSemantic proximity Read

MERFISH 2.0, an ultra-sensitive single-cell spatial transcriptomics imaging chemistry across diverse tissue typesSemantic proximity Read

A scRNA-seq Reference Contrasting Living and Early Post-Mortem Human Retina Across Diverse Donor StatesSemantic proximity Read

Decoder-FFPE-seq enables sensitive, genome-wide spatial transcriptomics of archival tissues at single-cell resolutionSemantic proximity Read

STCS: A Platform-Agnostic Framework for Cell-Level Reconstruction in Sequencing-Based Spatial TranscriptomicsSemantic proximity Read