ReviewMolecules and cells2021
Single-Cell Toolkits Opening a New Era for Cell Engineering.
Review in Molecules and cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Uncovering pan-cancer signatures of chemoresistance.Genome medicine · 2026Article
- Recent advances and applications of human lung alveolar organoids.Molecules and cells · 2024Review
- Unlocking biological mechanisms with integrative functional genomics approaches.Molecules and cells · 2024Review
- Single-cell joint profiling of multiple epigenetic proteins and gene transcription.Science advances · 2024Article
- Beethoven, Infected with Hepatitis B, Inspired the "Beethoven Virus."Molecules and cells · 2023Article
- Updates on the Immune Cell Basis of Hepatic Ischemia-Reperfusion Injury.Molecules and cells · 2023Review
- Article
- Single-Cell Molecular Barcoding to Decode Multimodal Information Defining Cell States.Molecules and cells · 2023Review
- Shall We Begin the Voyage of Adipose Tissue Exploration? A comprehensive atlas of adipose tissue at the single-cell level.Molecules and cells · 2022Review
- "Knowing" Can Be the Medicine for Expecting Mothers.Molecules and cells · 2022Article
- Visualizing Live Chromatin Dynamics through CRISPR-Based Imaging Techniques.Molecules and cells · 2021Article
- Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes.Molecules and cells · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the introduction of RNA sequencing (RNA-seq) as a high-throughput mRNA expression analysis tool, this procedure has been increasingly implemented to identify cell-level transcriptome changes in a myriad of model systems. However, early methods processed cell samples in bulk, and therefore the unique transcriptomic patterns of individual cells would be lost due to data averaging. Nonetheless, the recent and continuous development of new single-cell RNA sequencing (scRNA-seq) toolkits has enabled researchers to compare transcriptomes at a single-cell resolution, thus facilitating the analysis of individual cellular features and a deeper understanding of cellular functions. Nonetheless, the rapid evolution of high throughput single-cell "omics" tools has created the need for effective hypothesis verification strategies. Particularly, this issue could be addressed by coupling cell engineering techniques with single-cell sequencing. This approach has been successfully employed to gain further insights into disease pathogenesis and the dynamics of differentiation trajectories. Therefore, this review will discuss the current status of cell engineering toolkits and their contributions to single-cell and genome-wide data collection and analyses.
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.