ArticleNature2025
MorPhiC Consortium: towards functional characterization of all human genes.
Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- PerturbPlan: An analytical framework for designing Perturb-seq experiments.bioRxiv : the preprint server for biology · 2026Article
- Epigenetic editing: from concept to clinic.Nature reviews. Drug discovery · 2026Review
- BioSamples database: the global hub for sample metadata and multi-omics integration.Nucleic acids research · 2026Article
- Single-cell RNA sequencing data processing using cloud-based serverless computing.GigaByte (Hong Kong, China) · 2026Article
- A stem cell knockout village reveals lineage rewiring and a non-canonical islet cell fate in monogenic diabetes.bioRxiv : the preprint server for biology · 2025Article
- User-friendly scheduler Using a hybrid architecture and supercomputing for big data processing.bioRxiv : the preprint server for biology · 2025Article
- Systematic comparison and base-editing-mediated directed protein evolution and functional screening yield superior auxin-inducible degron technology.Nature communications · 2025Article
- Pooled CRISPR screening with optical sequencing reveals regulators of 3D chromatin organization.Nature methods · 2025Article
- HAND1, partially mediated through ape-specific LTR binding, is essential for human extra-embryonic mesenchyme derivation from iPSCs.Cell reports · 2025Article
- Toward automated and explainable high-throughput perturbation analysis in single cells.Patterns (New York, N.Y.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
30 authors.
Funding
Abstract
Recent advances in functional genomics and human cellular models have substantially enhanced our understanding of the structure and regulation of the human genome. However, our grasp of the molecular functions of human genes remains incomplete and biased towards specific gene classes. The Molecular Phenotypes of Null Alleles in Cells (MorPhiC) Consortium aims to address this gap by creating a comprehensive catalogue of the molecular and cellular phenotypes associated with null alleles of all human genes using in vitro multicellular systems. In this Perspective, we present the strategic vision of the MorPhiC Consortium and discuss various strategies for generating null alleles, as well as the challenges involved. We describe the cellular models and scalable phenotypic readouts that will be used in the consortium's initial phase, focusing on 1,000 protein-coding genes. The resulting molecular and cellular data will be compiled into a catalogue of null-allele phenotypes. The methodologies developed in this phase will establish best practices for extending these approaches to all human protein-coding genes. The resources generated-including engineered cell lines, plasmids, phenotypic data, genomic information and computational tools-will be made available to the broader research community to facilitate deeper insights into human gene functions.
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.