Evidence map›Paper›PMID 35507652›Full record

ArticleScience advances2022

Genetic physical unclonable functions in human cells.

Yi Li, Mohammad Mahdi Bidmeshki, Taek Kang, Chance M Nowak, Yiorgos Makris, Leonidas Bleris

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Designing Physical Unclonable Functions From Optically Active Materials.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  3. Biosecurity Primitive: Polymerase X-based Genetic Physical Unclonable Functions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Article
  5. Article
  6. 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

6 authors.

Yi LiBioengineering Department, University of Texas at Dallas, Richardson, TX, USA.ORCID 0000-0001-6389-7888
Mohammad Mahdi BidmeshkiDepartment of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, USA.ORCID 0000-0001-6512-0511
Taek KangBioengineering Department, University of Texas at Dallas, Richardson, TX, USA.
Chance M NowakBioengineering Department, University of Texas at Dallas, Richardson, TX, USA.
Yiorgos MakrisDepartment of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, USA.ORCID 0000-0002-4322-0068
Leonidas BlerisBioengineering Department, University of Texas at Dallas, Richardson, TX, USA.ORCID 0000-0002-6610-9020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A physical unclonable function (PUF) is a physical entity that provides a measurable output that can be used as a unique and irreproducible identifier for the artifact wherein it is embedded. Popularized by the electronics industry, silicon PUFs leverage the inherent physical variations of semiconductor manufacturing to establish intrinsic security primitives for attesting integrated circuits. Owing to the stochastic nature of these variations, photolithographically manufactured silicon PUFs are impossible to reproduce (thus unclonable). Inspired by the success of silicon PUFs, we sought to create the first generation of genetic PUFs in human cells. We demonstrate that these PUFs are robust (i.e., they repeatedly produce the same output), unique (i.e., they do not coincide with any other identically produced PUF), and unclonable (i.e., they are virtually impossible to replicate). Furthermore, we demonstrate that CRISPR-engineered PUFs (CRISPR-PUFs) can serve as a foundational principle for establishing provenance attestation protocols.

Identifiers

PMID35507652
PMCPMC9067934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.