Evidence map›Paper›PMID 35474898›Full record

ArticleCell reports methods2021

An integrated pipeline for mammalian genetic screening.

Christian Kramme, Alexandru M Plesa, Helen H Wang, Bennett Wolf, Merrick Pierson Smela, Xiaoge Guo, Richie E Kohman, Pranam Chatterjee, George M Church

Abstract read
In one paragraph

Article in Cell reports methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. A Massively ParallelACS synthetic biology · 2024
    Article
  8. Article
  9. Induction of Meiosis from Human Pluripotent Stem Cells.bioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Creation of de novo cryptic splicing for ALS/FTD precision medicine.bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Article
  14. 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

9 authors.

Christian KrammeDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Alexandru M PlesaDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Helen H WangDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Bennett WolfDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Merrick Pierson SmelaDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Xiaoge GuoDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Richie E KohmanDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Pranam ChatterjeeDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
George M ChurchDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the recent advancements in genome editing, next-generation sequencing (NGS), and scalable cloning techniques, scientists can now conduct genetic screens at unprecedented levels of scale and precision. With such a multitude of technologies, there is a need for a simple yet comprehensive pipeline to enable systematic mammalian genetic screening. In this study, we develop unique algorithms for target identification and a toxin-less Gateway cloning tool, termed MegaGate, for library cloning which, when combined with existing genetic perturbation methods and NGS-coupled readouts, enable versatile engineering of relevant mammalian cell lines. Our integrated pipeline for sequencing-based target ascertainment and modular perturbation screening (STAMPScreen) can thus be utilized for a host of cell state engineering applications.

Indexed as

CRISPR-Cas SystemsGene EditingAnimalsGene LibraryGenetic TestingMammalsCRISPRgene regulatory networksgenetic screeningstem cellstranscription factors

Identifiers

PMID35474898
PMCPMC9017118

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.