ReviewCell regeneration (London, England)2023
ScRNA-seq and ST-seq in liver research.
Review in Cell regeneration (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Unveiling the role of spatial transcriptomics in the analysis of the tumor immune microenvironment (Review).International journal of molecular medicine · 2026Review
- Hepatic GAPDH prevents excessive fasting-induced steatosis via serine-dependent inhibition of diacylglycerol synthesis.Cell death and differentiation · 2026Article
- <p>Beyond hepatic stellate cell heterogeneity: Resolving fibrosis, restoring regeneration (Review)</p>.International journal of molecular medicine · 2026Review
- Zonation, Zonation, Zonation: The Real Estate of the Liver.Annual review of pathology · 2026Review
- Gut-liver axis: Recent concepts in pathophysiology in alcohol-associated liver disease.Hepatology (Baltimore, Md.) · 2024Review
- A spatiotemporal atlas of cholestatic injury and repair in mice.Nature genetics · 2024Article
- Deciphering cellular complexity: advances and future directions in single-cell protein analysis.Frontiers in bioengineering and biotechnology · 2024Review
- Friend or foe? The elusive role of hepatic stellate cells in liver cancer.Nature reviews. Gastroenterology & hepatology · 2023Review
- Updates on the Immune Cell Basis of Hepatic Ischemia-Reperfusion Injury.Molecules and cells · 2023Review
- Angiocrine Signaling in Sinusoidal Health and Disease.Seminars in liver disease · 2023Review
- Single-cell RNA-seq in diabetic foot ulcer wound healing.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair SocietyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Spatial transcriptomics, which combine gene expression data with spatial information, has quickly expanded in recent years. With application of this method in liver research, our knowledge about liver development, regeneration, and diseases have been greatly improved. While this field is moving forward, a variety of problems still need to be addressed, including sensitivity, limited capacity to obtain exact single-cell information, data processing methods, as well as others. Methods like single-cell RNA sequencing (scRNA-seq) are usually used together with spatial transcriptome sequencing (ST-seq) to clarify cell-specific gene expression. In this review, we explore how advances of scRNA-seq and ST-seq, especially ST-seq, will pave the way to new opportunities to investigate fundamental questions in liver research. Finally, we will discuss the strengths, limitations, and future perspectives of ST-seq in liver research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.