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March 2020

Editor – Barbara Kramarz

Many thanks and farewell to Dr Milagros Rodríguez-López

DrÌýMilagrosÌýRodríguez-López,ÌýEMBL-EBI, was working on theÌýARUK-Õ¬ÄÐÊÓƵ neuroinflammation project fromÌýFebruaryÌý³Ù¾±±ô±ôÌýÌý2019. Throughout this collaboration Mila worked closely with Barbara on GO annotation of, firstly, microglial proteins implicated in Alzheimer’s disease, and then on theÌýendothelial junction and transport proteins important for theÌýblood-brain barrier processes. Mila’s curation work also led to ontology revisions and updates of ‘cell-cell adherens’-related GO terms.ÌýWe thank Mila for her contributions to this project and we wish her every success in theÌýfuture.

Blood-brain barrier annotation progress

Mila completed theÌýGO annotation of the 24 ‘endothelial connection’ proteins and 10 ‘receptor-mediated transport’ proteins, listed on ourÌýwebpage, resulting in 317 and 177 GO annotations, respectively. In addition, Mila curated 8 out of 47 ‘solute carrier-mediated transport’ proteins contributing 72 annotations, whereas Barbara has contributed annotations for 10 more proteins from this same list resulting in 78 annotations. Barbara has also completed theÌýannotation of ‘ion transport’ proteins, resulting in 362 annotations for 16 proteins. Barbara is continuing theÌýcuration of theÌýremaining ‘solute carrier-mediated transport’ proteinsÌý(data from QuickGO, accessed 1stÌýMarch 2020).Ìý

Annotation of microRNAs regulating interleukins

ShirinÌýhas been annotating microRNAs that regulate theÌýexpression of interleukins since October 2019. Throughout this project Shirin has curated a total of 59 papers, identified inÌýÌýand throughÌýÌýsearches, and contributed over 450 annotations for more than 44 microRNAs.

New microRNA annotation projects

We are pleased to welcome two MSc students, Katherine Thurlow and Sandra De Miranda Pinheiro. Katherine will be using GO to capture knowledge about microRNAs with roles in the blood-brain barrier, whereas Sandra will be annotating microRNAs that regulate theÌýAPPÌýandÌýBACE1ÌýAlzheimer’s disease genes.

ARUK-UCL Annotation Statistics

In total,ÌýÌýprojects, including theÌýGO annotation of proteins interacting with amyloid-beta and tau, microglial proteins and blood-brain barrier proteins, as well as microRNAs regulating theÌýexpression of proteins implicated in Alzheimer’s disease, have so far resulted in 10,252 annotations for 1,651 distinct gene products, including: 8,192 annotations for 1,332 proteins; 1,673 annotations for 297 non-coding RNAs (mainly microRNAs); and 387 annotations for 22 protein-containing complexes (data from QuickGO, accessed 1stÌýMarch 2020).Ìý

Meetings attended

Shirin was awarded a Short Term Scientific Mission (STSM) grant from theÌýEuropean Cooperation In Science and Technology () organisation, which allowed her to travel to in southern Italy for a week-long knowledge exchange meeting with Dr Simona Panni. During this time Simona trained Shirin in capturing molecular interactions between microRNAs and their mRNA targets using the IntAct curation tool, whereas Shirin shared with Simona her knowledge about GO annotation of microRNAs, and trained Simona in using theÌýGene Ontology Annotation (GOA) curation tool.

Ruth organised a small meeting at Õ¬ÄÐÊÓƵ in January, funded by theÌýÌýCOST project, which focused on developing guidelines for the curation of DNA binding transcription factors (dbTFs) and reviewing the GO annotation of 400 possible human dbTFs. In February, Ruth presented the progress of this project at the Università della Calabria, Rende, Italy. At this meeting several researchers agreed to help to complete this task, which would lead to a 2020 list of all known human dbTfs being associated with the GO termÌýÌýDNA-binding transcription factor activity.Ìý

Introduction to Bioinformatics and GO workshop

24thÌý- 25thÌýJune 2020

If you would like to attend our popular free two-day workshops, please use theÌýÌýsite to register. This workshop is funded byÌýÌýand provides an overview of several biological knowledgebases, as well as an introduction to GO and functional analysis tools.