ReviewCellular and molecular gastroenterology and hepatology2018
Single-Cell Computational Strategies for Lineage Reconstruction in Tissue Systems.
Review in Cellular and molecular gastroenterology and hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- FIERCE: reconstructing dynamic trajectories from the differentiation potency of single cells.Bioinformatics (Oxford, England) · 2026Article
- Graph Topology Reframes the Coherence of Cell-State Manifold Inference under Heterogeneous Single-Cell Observations.Computational and structural biotechnology journal · 2026Article
- Genetic Tools for Cell Lineage Tracing and Profiling Developmental Trajectories in the Skin.The Journal of investigative dermatology · 2024Review
- Single-Cell RNA Sequencing and Its Applications in Pituitary Research.Neuroendocrinology · 2024Review
- Gene regulatory network inference in the era of single-cell multi-omics.Nature reviews. Genetics · 2023Review
- LVPT: Lazy Velocity Pseudotime Inference Method.Biomolecules · 2023Article
- Review
- Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics.Burns & trauma · 2023Review
- Single-cell RNA sequencing of mast cells in eosinophilic esophagitis reveals heterogeneity, local proliferation, and activation that persists in remission.The Journal of allergy and clinical immunology · 2022Article
- Redefining intestinal immunity with single-cell transcriptomics.Mucosal immunology · 2022Review
- EMBEDR: Distinguishing signal from noise in single-cell omics data.Patterns (New York, N.Y.) · 2022Article
- On the horizon: Hedgehog signaling to heal broken bones.Bone research · 2022Review
- DNA barcode to trace the development and differentiation of cord blood stem cells (Review).Molecular medicine reports · 2021Review
- A Portrait of Intratumoral Genomic and Transcriptomic Heterogeneity at Single-Cell Level in Colorectal Cancer.Medicina (Kaunas, Lithuania) · 2021Review
- Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data.Cell systems · 2021Article
- Article
- Recent Advances in Single-Cell View of Mesenchymal Stem Cell in Osteogenesis.Frontiers in cell and developmental biology · 2021Review
- Review
- Use of Single-Cell -Omic Technologies to Study the Gastrointestinal Tract and Diseases, From Single Cell Identities to Patient Features.Gastroenterology · 2020Review
- Article
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.
Funding
Abstract
Function at the organ level manifests itself from a heterogeneous collection of cell types. Cellular heterogeneity emerges from developmental processes by which multipotent progenitor cells make fate decisions and transition to specific cell types through intermediate cell states. Although genetic experimental strategies such as lineage tracing have provided insights into cell lineages, recent developments in single-cell technologies have greatly increased our ability to interrogate distinct cell types, as well as transitional cell states in tissue systems. From single-cell data that describe these intermediate cell states, computational tools have been developed to reconstruct cell-state transition trajectories that model cell developmental processes. These algorithms, although powerful, are still in their infancy, and attention must be paid to their strengths and weaknesses when they are used. Here, we review some of these tools, also referred to as
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.