Evidence map›Paper›PMID 39240515›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Lens Regeneration: The Application of iSyTE and In Silico Approaches to Evaluate Gene Expression in Lens Organoids.

Sanjaya K Shrestha, Salil A Lachke

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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.

Sanjaya K ShresthaDepartment of Biological Sciences, University of Delaware, Newark, DE, USA.
Salil A LachkeDepartment of Biological Sciences, University of Delaware, Newark, DE, USA. salil@udel.edu.

Funding

POST TRANSCRIPTIONAL CONTROL OF GENE EXPRESSION IN THE LENS (LENS GENE EXPRESSIONR01EY021505 · NEI · WASHINGTON UNIVERSITY · PI LACHKE, SALIL · 2011 to 2024
$5.3M
RNA-binding proteins in early eye development.R01EY029770 · NEI · UNIVERSITY OF DELAWARE · PI LACHKE, SALIL · 2019 to 2023
$1.7M
NEI NIH HHS R01 EY021505NEI NIH HHS R01 EY029770
6 · The paper itself

Abstract

Several protocols have been established for the generation of lens organoids from embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs), and other cells with regenerative potential in humans or various animal models. It is important to examine how well the regenerated lens organoids reflect lens biology, in terms of its development, homeostasis, and aging. Toward this goal, the iSyTE database (integrated Systems Tool for Eye gene discovery; https://research.bioinformatics.udel.edu/iSyTE/ ), a bioinformatics resource tool that contains meta-analyzed gene expression data in wild-type lens across different embryonic, postnatal, and adult stages, can serve as a resource for comparative analysis. This article outlines the approaches toward effective use of iSyTE to gain insights into normal gene expression in the mouse lens, enriched expression in the lens, and differential gene expression in select mouse gene-perturbation cataract/lens defects models, which in turn can be used to evaluate expression of key lens-relevant genes in lens organoids by transcriptomics (e.g., RNA-sequencing (RNA-seq), microarrays, etc.) or other downstream methods (e.g., RT-qPCR, etc.).

Indexed as

Lens, CrystallineOrganoidsRegenerationAnimalsCataractComputational BiologyComputer SimulationDatabases, GeneticGene Expression ProfilingHumansMiceTranscriptomeDevelopmentEscsIpscsLensOrganoidsProteomeTranscriptome

Identifiers

What OpenQuestion holds

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Registered trials

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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.