Evidence map›Paper›PMID 42071144›Full record

ReviewAdvances in experimental medicine and biology2026

Functional Genomics: Principles and Methods.

Ana Neves-Costa, Luís Ferreira Moita

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ana Neves-CostaInnate Immunity and Inflammation Laboratory, Instituto Gulbenkian de Ciência, Oeiras, Portugal.
Luís Ferreira MoitaInnate Immunity and Inflammation Laboratory, Instituto Gulbenkian de Ciência, Oeiras, Portugal. lmoita@medicina.ulisboa.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional genomics studies address how genes, gene products, and noncoding sequences dictate phenotypes. Unlike traditional gene-by-gene approaches, functional genomics screens comprehensively interrogate genomes. Continuous advances in nucleic acid manipulation and gene-targeting tools, combined with the availability of complete genomes, the variety of phenotypes that can be screened, and the expanding capacity of omics data analysis, contribute to the lasting success of functional genomics in biological discovery. This chapter focuses on designing, implementing, and analyzing functional genetic screens in model organisms and human cells. It also reviews recent findings with profound impacts on biomedical research. Additionally, current limitations that still compromise the use of functional genomics screens across all model organisms and cells are examined, and future applications are anticipated. Given the extensive work presented in this chapter, there is little doubt that functional genomics screens will continue to be a powerful driving force in understanding how genomes regulate health and disease.

Indexed as

GenomicsAnimalsHumansArrayed libraryCRISPR/Cas9Forward screenFunctional genomics screenPooled libraryReverse screenshRNAsiRNA

Identifiers

PMID42071144

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.