SAFB2 Enables the Processing of Suboptimal Stem-Loop Structures in Clustered Primary miRNA Transcripts.

Many microRNAs (miRNAs) are generated from primary transcripts containing multiple clustered stem-loop structures that are thought to be recognized and cleaved by the Microprocessor complex as independent units. Here, we uncover an unexpected mode of processing of the bicistronic miR-15a-16-1 cluster. We find that the primary miR-15a stem-loop is not processed on its own but that the presence of the neighboring primary miR-16-1 stem-loop on the same transcript can compensate for this deficiency in cis. Using a CRISPR/Cas9 screen, we identify SAFB2 (scaffold attachment factor B2) as an essential co-factor in this miR-16-1-assisted pri-miR-15 cleavage and describe SAFB2 as an accessory protein of the Microprocessor. Notably, SAFB2-mediated cleavage expands to other clustered pri-miRNAs, indicating a general mechanism. Together, our study reveals an unrecognized function of SAFB2 in miRNA processing and suggests a scenario in which SAFB2 enables the binding and processing of suboptimal Microprocessor substrates in clustered primary miRNA transcripts.

Ionmob: a Python package for prediction of peptide collisional cross-section values.

MOTIVATION: Including ion mobility separation (IMS) into mass spectrometry proteomics experiments is useful to improve coverage and throughput. Many IMS devices enable linking experimentally derived mobility of an ion to its collisional cross-section (CCS), a highly reproducible physicochemical property dependent on the ion's mass, charge and conformation in the gas phase. Thus, known peptide ion mobilities can be used to tailor acquisition methods or to refine database search results. The large space of potential peptide sequences, driven also by posttranslational modifications of amino acids, motivates an in silico predictor for peptide CCS. Recent studies explored the general performance of varying machine-learning techniques, however, the workflow engineering part was of secondary importance. For the sake of applicability, such a tool should be generic, data driven, and offer the possibility to be easily adapted to individual workflows for experimental design and data processing. RESULTS: We created ionmob, a Python-based framework for data preparation, training, and prediction of collisional cross-section values of peptides. It is easily customizable and includes a set of pretrained, ready-to-use models and preprocessing routines for training and inference. Using a set of ≈21 000 unique phosphorylated peptides and ≈17 000 MHC ligand sequences and charge state pairs, we expand upon the space of peptides that can be integrated into CCS prediction. Lastly, we investigate the applicability of in silico predicted CCS to increase confidence in identified peptides by applying methods of re-scoring and demonstrate that predicted CCS values complement existing predictors for that task. AVAILABILITY AND IMPLEMENTATION: The Python package is available at github: https://github.com/theGreatHerrLebert/ionmob.

VLA-4 Affinity Assay for Murine Bone Marrow-derived Hematopoietic Stem Cells.

Hematopoietic stem cells (HSCs) are defined by their functional ability to self-renew and to differentiate into all blood cell lineages. The majority of HSC reside in specific anatomical locations in the bone marrow (BM) microenvironment, in a quiescent non motile mode. Adhesion interactions between HSCs and their supporting BM microenvironment cells are critical for maintaining stem cell quiescence and protection from DNA damaging agents to prevent hematology failure and death. Multiple signaling proteins play a role in controlling retention and migration of bone marrow HSCs. Adhesion molecules are involved in both processes regulating hematopoiesis and stem- and progenitor-cell BM retention, migration and development. The mechanisms underlying the movement of stem cells from and to the marrow have not been completely elucidated and are still an object of intense study. One important aspect is the modification of expression and affinity of adhesion molecules by stem and progenitor cells which are required both for stem cell retention, migration and development. Adhesion is regulated by expression of the adhesion molecules, their affinity and avidity. Affinity regulation is related to the molecular binding recognition and bond strength. Here, we describe the in vitro FACS assay used in our research to explore the expression, affinity and function of the integrin α4ß1 (also termed VLA-4) for murine bone marrow retained EPCR+ long term repopulation HSC (LT-HSC) (Gur- Cohen et al., 2015 ).

Adhesion Assay for Murine Bone Marrow Hematopoietic Stem Cells.

Hematopoietic stem cells (HSCs) are defined by their functional abilities to self-renew and to give rise to all mature blood and immune cell types throughout life. Most HSCs are retained in a non-motile quiescent state within a specialized protective microenvironment in the bone marrow (BM) termed the niche. HSCs are typically distinguished from other adult stem cells by their motility capacity. Movement of HSCs across the physical barrier of the marrow extracellular matrix and blood vessel endothelial cells is facilitated by suppression of adhesion interactions, which are essential to preserve the stem cells retained within their BM niches. Importantly, homing of HSCs to the BM following clinical transplantation is a crucial first step for the repopulation of ablated BM as in the case of curative treatment strategies for hematologic malignancies. The homing process ends with selective access and anchorage of HSCs to their specialized niches within the BM. Adhesion molecules are targets to either enhance homing in cases of stem cell transplantation or reduce BM retention to harvest mobilized HSCs from the blood of matched donors. A major adhesion protein which is functionally expressed on HSCs and is involved in their homing and retention is the integrin alpha4beta1 (Very late antigen-4; VLA4). In this protocol we introduce an adhesion assay optimized for VLA4 expressing murine bone marrow stem cells. This assay quantifies adherent HSCs by flow cytometry with HSC enriching cell surface markers subsequent to the isolation of VLA4 expressing adherent cells.