Evidence map›Paper›PMID 41634544›Full record

ReviewBMC genomics2026

Strategies and considerations for the generation of ssDNA-Based HDR templates for CRISPR-based genome editing.

Harshitha Golagana Velangani, Aditi Ghosh, Sudiksha Singh, Shashi Kiran

Abstract readReview
In one paragraph

Review in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Ultra-large targeted DNA integrations in primary human cells.bioRxiv : the preprint server for biology · 2026
    Article
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

4 authors.

Harshitha Golagana VelanganiDepartment of Biochemistry, School of Life Science, University of Hyderabad, Hyderabad, 500046, India.
Aditi GhoshDepartment of Biochemistry, School of Life Science, University of Hyderabad, Hyderabad, 500046, India.
Sudiksha SinghDepartment of Biochemistry, School of Life Science, University of Hyderabad, Hyderabad, 500046, India.
Shashi KiranDepartment of Biochemistry, School of Life Science, University of Hyderabad, Hyderabad, 500046, India. shashi_sls@uohyd.ac.in.

Funding

ANRF, India FILE NO. CRG/2023/007695Indian Council of Medical Research [EMDR/SG/15/2024-01-03223 (E-File No. 222379)]
6 · The paper itself

Abstract

The usefulness of genome editing lies in the ability to induce any desirable change in the target genome. It is most efficiently achieved using ssDNA (single-stranded DNA) as the HDR template and CRISPR-Cas9 targeted DNA breaks. However, the low efficiency of HDR integration is a challenge for achieving efficient edits. Among different HDR templates, ssDNA has the highest efficiency in inducing repair after CRISPR-induced DNA breaks. Several methods are used to generate the ssDNA-HDR template. However, each method has limitations in terms of feasibility for different ssDNA types, efficiency, time required, expenses incurred, etc. Often, these factors are overlooked, confusing users regarding the most appropriate method for generating ssDNA. This study describes and compares methods for generating ssDNA and outlines considerations for designing an efficient ssDNA template. Most frequently used methods are PCR-based, utilizing modified primers (phosphorylation, biotinylation, or phosphorothioate-based) or those utilizing the IVT-RT (In vitro transcription- reverse transcriptase) method. Asymmetric PCR and M13-based methods of ssDNA generation have been used as non-PCR methods. The IVT-RT method is widely adopted as it provides a middle-ground in yield and ease. The advantages and shortcomings of these methods, based on reported studies and our own results, are discussed.

Indexed as

CRISPR-Cas SystemsDNA, Single-StrandedGene EditingRecombinational DNA RepairDNA, Single-StrandedCRISPR-Cas9ssDNA-HDRUniversal plasmidUniversal primers

Identifiers

PMID41634544
PMCPMC12958667

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.