Evidence map›Paper›PMID 33036143›Full record

ArticleInternational journal of molecular sciences2020

Genomic Analysis of Hematopoietic Stem Cell at the Single-Cell Level: Optimization of Cell Fixation and Whole Genome Amplification (WGA) Protocol.

Chiara Carretta, Selene Mallia, Elena Genovese, Sandra Parenti, Sebastiano Rontauroli, Elisa Bianchi, Sebastian Fantini, Stefano Sartini, Lara Tavernari, Enrico Tagliafico and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. 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
0.5field-weighted citation impact, top 43% of its field
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, 7 citations in OpenAlex.

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  4. Review
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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

11 authors at 1 institution in 1 country.

Chiara CarrettaCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0001-5952-0818
Selene MalliaCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.
Elena GenoveseCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.
Sandra ParentiCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.
Sebastiano RontauroliCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.
Elisa BianchiCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0002-6110-5944
Sebastian FantiniCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.
Stefano SartiniCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.
Lara TavernariCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.
Enrico TagliaficoCenter for Genome Research, University of Modena and Reggio Emilia, 41125 Modena, Italy.
Rossella ManfrediniCentre for Regenerative Medicine "S. Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.
University of Modena and Reggio Emilia · IT

Funding

Associazione Italiana per la Ricerca sul Cancro 19818Associazione Italiana per la Ricerca sul Cancro 21267Italian Ministry of Health RF-2016-02362930Ministero dell'Istruzione, dell'Università e della Ricerca 2017WXR7ZT_005
6 · The paper itself

Abstract

Single-cell genomics has become the method of choice for the study of heterogeneous cell populations and represents an elective application in defining the architecture and clonal evolution in hematological neoplasms. Reconstructing the clonal evolution of a neoplastic population therefore represents the main way to understand more deeply the pathogenesis of the neoplasm, but it is also a potential tool to understand the evolution of the tumor population with respect to its response to therapy. Pre-analytical phase for single-cell genomics analysis is crucial to obtain a cell population suitable for single-cell sorting, and whole genome amplification is required to obtain the necessary amount of DNA from a single cell in order to proceed with sequencing. Here, we evaluated the impact of different methods of cellular immunostaining, fixation and whole genome amplification on the efficiency and yield of single-cell sequencing.

Indexed as

Clonal EvolutionHematopoietic Stem CellsCell LineGenome, HumanGenomicsHematologic NeoplasmsHumansK562 CellsNucleic Acid Amplification TechniquesSingle-Cell Analysisclonal architectureclonal heterogeneityhematopoietic stem cellsmyeloproliferative neoplasmssingle-cell genomicssingle-cell isolationwhole genome amplification

Identifiers

PMID33036143
PMCPMC7582552
OpenAlexW3091791394

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.