Evidence map›Paper›PMID 35939046›Full record

ArticleeLife2022

Polysome-CAGE of TCL1-driven chronic lymphocytic leukemia revealed multiple N-terminally altered epigenetic regulators and a translation stress signature.

Ariel Ogran, Tal Havkin-Solomon, Shirly Becker-Herman, Keren David, Idit Shachar, Rivka Dikstein

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. 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
0.2field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Ariel OgranDepartment of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-9411-3537
Tal Havkin-SolomonDepartment of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel.
Shirly Becker-HermanDepartment of Immunology, The Weizmann Institute of Science, Rehovot, Israel.
Keren DavidDepartment of Immunology, The Weizmann Institute of Science, Rehovot, Israel.
Idit ShacharDepartment of Immunology, The Weizmann Institute of Science, Rehovot, Israel.
Rivka DiksteinDepartment of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-6251-4723
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transformation of normal to malignant cells is accompanied by substantial changes in gene expression programs through diverse mechanisms. Here, we examined the changes in the landscape of transcription start sites and alternative promoter (AP) usage and their impact on the translatome in TCL1-driven chronic lymphocytic leukemia (CLL). Our findings revealed a marked elevation of APs in CLL B cells from Eµ-Tcl1 transgenic mice, which are particularly enriched with intra-genic promoters that generate N-terminally truncated or modified proteins. Intra-genic promoter activation is mediated by (1) loss of function of 'closed chromatin' epigenetic regulators due to the generation of inactive N-terminally modified isoforms or reduced expression; (2) upregulation of transcription factors, including

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellAnimalsCarcinogenesisEpigenesis, GeneticMiceMice, TransgenicPolyribosomesProto-Oncogene ProteinsProto-Oncogene ProteinsTcl1 protein, mousealternative promotercancer biologychromosomesCLLgene expressionmousepolysome-CAGETCL1transcription start sitetranslation

Identifiers

PMID35939046
PMCPMC9359700
OpenAlexW4290691978

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.