Biochimica et Biophysica Acta: Gene Regulatory Mechanisms

One of the 10 topical journals of BBA

Biochimica et Biophysica Acta: Gene Regulatory Mechanisms - ISSN 1874-9399
Source Normalized Impact per Paper (SNIP): 1.066 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 1.92 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 3.51 (2019) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 4.96 (2019) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volume 1864
Issues: 12 issues
ISSN: 18749399
Editor-in-Chief: Roberts

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BBA Gene Regulatory Mechanisms includes reports that describe novel insights into mechanisms of transcriptional, post-transcriptional and translational gene regulation. Special emphasis is placed on papers that identify epigenetic mechanisms of gene regulation, including chromatin, modification, and remodeling. This section also encompasses mechanistic studies of regulatory proteins and protein complexes; regulatory or mechanistic aspects of RNA processing; regulation of expression by small RNAs; genomic analysis of gene expression patterns; and modeling of gene regulatory pathways. Papers describing gene promoters, enhancers, silencers or other regulatory DNA regions must incorporate significant functions studies.

The journal does not favorably review manuscripts identifying a miRNA-target pair without additional insights into the repression mechanism or significant advances in understanding regulatory pathways. In addition, the following elements should be an integral part of the study:
•In silico prediction of miRNA targets must be experimentally verified using appropriate luciferase constructs and assays;
•To exclude non-functional miRNA/mRNA interactions a reporter system including the whole 3'UTR of the target gene downstream the "luciferase" or GFP should be considered;
•Any miRNA modulation should be validated by measuring the expression of the putative protein

Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center