an-automated-squint-method-for-time-syncing-behavior-brain-dynamics

An Automated Squint Method for Time-syncing Behavior and Brain Dynamics in Mouse Pain Studies

Spontaneous pain has been challenging to track in real time and quantify in a way that prevents human bias. This is especially true for metrics of head ...

University of Iowa

A hydrophobic core is a widely accepted determinant of protein stability. However, regulatory proteins undergoing ligand-induced conformational switching may expose interior residues to solvent and cannot afford to be extremely rigid. Optimizing the energetic balance between stability and binding is challenging. The addition of five interdomain residues to rat and Paramecium calmodulin N-domain fragments (residues 1-75) increased their thermostability by 9 degrees C and lowered their calcium affinity by a factor of 4. This demonstrates that the flexible linker regulates functional properties as well as tethering the neighboring domains and that protein stability may be increased markedly by minor modifications of the C-terminus. The sensitivity of this domain to few and conservative variations in helices A and D (D2E, S17A, T70S and M71L) is demonstrated by the rat CaM fragments having lower stability and higher calcium affinity than fragments of the same length derived from Paramecium CaM.

An interdomain linker increases the thermostability and decreases the calcium affinity of the calmodulin N-domain.

Calmodulin (CaM) is a small (148 amino acid), ubiquitously expressed eukaryotic protein essential for Ca(2+) regulation and signaling. This highly acidic polypeptide (pI<4) has two homologous domains (N and C), each consisting of two EF-hand Ca(2+)-binding sites. Despite significant homology, the domains have intrinsic differences in their Ca(2+)-binding properties and separable roles in regulating physiological targets such as kinases and ion channels. In mammalian full-length CaM, sites III and IV in the C-domain bind Ca(2+) cooperatively with ~10-fold higher affinity than sites I and II in the N-domain. However, the difference is only twofold when CaM is severed at residue 75, indicating that anticooperative interactions occur in full-length CaM. The Ca(2+)-binding properties of sites I and II are regulated by several factors including the interplay of interdomain linker residues far from the binding sites. Our prior thermodynamic studies showed that these residues inhibit thermal denaturation and decrease calcium affinity. Based on high-resolution structures and NMR spectra, there appear to be interactions between charged residues in the sequence 75-80 and those near the amino terminus of CaM. To explore electrostatic contributions to interdomain interactions in CaM, KCl was used to perturb the Ca(2+)-binding affinity, thermal stability, and hydrodynamic size of a nested set of recombinant mammalian CaM (rCaM) fragments terminating at residues 75, 80, 85, or 90. Potassium chloride is known to decrease Ca(2+)-binding affinity of full-length CaM. It may act directly by competition with acidic side chains that chelate Ca(2+) in the binding sites, and indirectly elsewhere in the molecule by changing tertiary constraints and conformation. In all proteins studied, KCl decreased Ca(2+)-affinity, decreased Stokes radius, and increased thermal stability, but not monotonically. Crystallographic structures of Ca(2+)-saturated rCaM(1-75) (3B32.pdb) and rCaM(1-90) (3IFK.pdb) were determined, offering cautionary notes about the effect of packing interactions on flexible linkers. This chapter describes an array of methods for characterizing system-specific thermodynamic properties that in concert govern structure and function.

Thermodynamics and conformational change governing domain-domain interactions of calmodulin.

While it is commonly thought that microaggressions are isolated incidents, microaggressions are ingrained throughout the academic research institution (Young, Anderson and Stewart 2015; Lee et al. 2020). Persons Excluded from science because of Ethnicity and Race (PEERs) frequently experience microaggressions from various academicians, including graduate students, postdocs and faculty (Asai 2020; Lee et al. 2020). Here, we elaborate on a rationale for concrete actions to cope with and diminish acts of microaggressions that may otherwise hinder the inclusion of PEERs. We encourage Science, Technology, Engineering and Mathematics (STEM) departments and leadership to affirm PEER scholar identities and promote allyship by infusing sensitivity, responsiveness and anti-bias awareness.

Responding and navigating racialized microaggressions in STEM.

Mentoring is a developmental experience intended to increase the willingness to learn and establish credibility while building positive relationships through networking. In this commentary, we focus on intentional mentoring for underrepresented mentees, including individuals that belong to minority racial, ethnic and gender identity groups in Science, Technology, Engineering, Mathematics and Medicine (STEMM) fields. Intentional mentoring is the superpower action necessary for developing harmony and comprehending the purpose and value of the mentor/mentee relationship. Regardless of a mentor's career stage, we believe the strategies discussed may be used to create a supportive and constructive mentorship environment; thereby improving the retention rates of underrepresented mentees within the scientific community.

Intentional mentoring: maximizing the impact of underrepresented future scientists in the 21st century.

The architecture whereby activity across many brain regions integrates to encode individual appetitive social behavior remains unknown. Here we measure electrical activity from eight brain regions as mice engage in a social preference assay. We then use machine learning to discover a network that encodes the extent to which individual mice engage another mouse. This network is organized by theta oscillations leading from prelimbic cortex and amygdala that converge on the ventral tegmental area. Network activity is synchronized with cellular firing, and frequency-specific activation of a circuit within this network increases social behavior. Finally, the network generalizes, on a mouse-by-mouse basis, to encode individual differences in social behavior in healthy animals but fails to encode individual behavior in a 'high confidence' genetic model of autism. Thus, our findings reveal the architecture whereby the brain integrates distributed activity across timescales to encode an appetitive brain state underlying individual differences in social behavior.

Brain-wide electrical dynamics encode individual appetitive social behavior.

Schizophrenia is an idiopathic psychiatric disorder with a high degree of polygenicity. Evidence from genetics, single-cell transcriptomics, and pharmacological studies suggest an important, but untested, overlap between genes involved in the etiology of schizophrenia and the cellular mechanisms of action of antipsychotics. To directly compare genes with antipsychotic-induced differential expression to genes involved in schizophrenia, we applied single-cell RNA-sequencing to striatal samples from male C57BL/6 J mice chronically exposed to a typical antipsychotic (haloperidol), an atypical antipsychotic (olanzapine), or placebo. We identified differentially expressed genes in three cell populations identified from the single-cell RNA-sequencing (medium spiny neurons [MSNs], microglia, and astrocytes) and applied multiple analysis pipelines to contextualize these findings, including comparison to GWAS results for schizophrenia. In MSNs in particular, differential expression analysis showed that there was a larger share of differentially expressed genes (DEGs) from mice treated with olanzapine compared with haloperidol. DEGs were enriched in loci implicated by genetic studies of schizophrenia, and we highlighted nine genes with convergent evidence. Pathway analyses of gene expression in MSNs highlighted neuron/synapse development, alternative splicing, and mitochondrial function as particularly engaged by antipsychotics. In microglia, we identified pathways involved in microglial activation and inflammation as part of the antipsychotic response. In conclusion, single-cell RNA sequencing may provide important insights into antipsychotic mechanisms of action and links to findings from psychiatric genomic studies.

Gene expression changes following chronic antipsychotic exposure in single cells from mouse striatum.

Increased vulnerability to stress is a major risk factor for several mood disorders, including major depressive disorder. Although cellular and molecular mechanisms associated with depressive behaviors following stress have been identified, little is known about the mechanisms that confer the vulnerability that predisposes individuals to future damage from chronic stress.

Transcriptomic Evaluation of a Stress Vulnerability Network Using Single-Cell RNA Sequencing in Mouse Prefrontal Cortex.

In rodents, anxiety is charactered by heightened vigilance during low-threat and uncertain situations. Though activity in the frontal cortex and limbic system are fundamental to supporting this internal state, the underlying network architecture that integrates activity across brain regions to encode anxiety across animals and paradigms remains unclear. Here, we utilize parallel electrical recordings in freely behaving mice, translational paradigms known to induce anxiety, and machine learning to discover a multi-region network that encodes the anxious brain-state. The network is composed of circuits widely implicated in anxiety behavior, it generalizes across many behavioral contexts that induce anxiety, and it fails to encode multiple behavioral contexts that do not. Strikingly, the activity of this network is also principally altered in two mouse models of depression. Thus, we establish a network-level process whereby the brain encodes anxiety in health and disease.

Rainbo Hultman

Department of Molecular Physiology & Biophysics,
Department of Psychiatry

University of Iowa

An Automated Squint Method for Time-syncing Behavior and Brain Dynamics in Mouse Pain Studies

Rainbo Hultman

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Molecular Physiology & Biophysics,Department of Psychiatry

University of Iowa

An Automated Squint Method for Time-syncing Behavior and Brain Dynamics in Mouse Pain Studies

Department of Molecular Physiology & Biophysics,
Department of Psychiatry