Development of a Week-Long Mathematics Intervention for Incoming Chemistry Graduate Students.

A student-led mathematics bootcamp has been designed and implemented to help foster community building, improve confidence in mathematical skills, and provide mathematical resources for incoming physical chemistry doctoral students. The bootcamp is held immediately before the start of the first semester of graduate school and uses an active learning approach to review and practice undergraduate-level mathematics problems over 5 days in small student groups. This work includes the development and presentation of a new, publicly available mathematics curriculum for the bootcamp on select mathematics topics, including calculus, linear algebra, functions, differential equations, statistics, and coding in Python, aiming at improving students' confidence and learning experiences in graduate quantum mechanics and statistical physics courses. Surveys before and after the bootcamp showed an increase in students' confidence in problem-solving in key mathematical areas and social aspects of peer-led group learning. Qualitative and quantitative analyses demonstrate that the bootcamp reduced prior inequities in students' confidence metrics based on gender and mathematical background.

A Pilot Graduate Student-Led Near-Peer Mentorship Program for Transfer Students Provides a Supportive Network at an R1 Institution.

The undergraduate transfer process has well-documented challenges, especially for those who identify with groups historically excluded from science, technology, engineering, and mathematics (STEM) programs. Because transfer students gain later access to university networking and research opportunities than first-time-in-college students, transfer students interested in pursuing postbaccalaureate degrees in chemistry have a significantly shortened timeline in which to conduct research, a crucial component in graduate school applications. Mentorship programs have previously been instituted as effective platforms for the transfer of community cultural wealth within large institutions. We report here the design, institution, and assessment of a near-peer mentorship program for transfer students, the Transfer Student Mentorship Program (TSMP). Founded in 2020 by graduate students, the TSMP pairs incoming undergraduate transfer students with current graduate students for personalized mentorship and conducts discussion-based seminars to foster peer relationships. The transfer student participants have access to a fast-tracked networking method during their first transfer semester that can serve as a route for acquiring undergraduate research positions. Program efficacy was assessed via surveys investigating the rates of research participation and sense of belonging of transfer students. We observed that respondents that participated in the program experienced an overall improvement in these measures compared to respondents who did not. Having been entirely designed, instituted, and led by graduate students, we anticipate that this program will be highly tractable to other universities looking for actionable methods to improve their students' persistence in pursuing STEM degrees.

High Energy Channeling and Malleable Transition States: Molecular Dynamics Simulations and Free Energy Landscapes for the Thermal Unfolding of Protein U1A and 13 Mutants.

The spliceosome protein U1A is a prototype case of the RNA recognition motif (RRM) ubiquitous in biological systems. The in vitro kinetics of the chemical denaturation of U1A indicate that the unfolding of U1A is a two-state process but takes place via high energy channeling and a malleable transition state, an interesting variation of typical two-state behavior. Molecular dynamics (MD) simulations have been applied extensively to the study of two-state unfolding and folding of proteins and provide an opportunity to obtain a theoretical account of the experimental results and a molecular model for the transition state ensemble. We describe herein all-atom MD studies including explicit solvent of up to 100 ns on the thermal unfolding (UF) of U1A and 13 mutants. Multiple MD UF trajectories are carried out to ensure accuracy and reproducibility. A vector representation of the MD unfolding process in RMSD space is obtained and used to calculate a free energy landscape for U1A unfolding. A corresponding MD simulation and free energy landscape for the protein CI2, well known to follow a simple two state folding/unfolding model, is provided as a control. The results indicate that the unfolding pathway on the MD calculated free energy landscape of U1A shows a markedly extended transition state compared with that of CI2. The MD results support the interpretation of the observed chevron plots for U1A in terms of a high energy, channel-like transition state. Analysis of the MDUF structures shows that the transition state ensemble involves microstates with most of the RRM secondary structure intact but expanded by ~14% with respect to the radius of gyration. Comparison with results on a prototype system indicates that the transition state involves an ensemble of molten globule structures and extends over the region of ~1-35 ns in the trajectories. Additional MDUF simulations were carried out for 13 U1A mutants, and the calculated φ-values show close accord with observed results and serve to validate our methodology.

Shaping the Future of Higher Education: Practical, Community-Driven Initiatives to Improve Academic Climate.

Historically, efforts to improve academic climate have been siloed-many efforts involve the collection of data to understand issues affecting diversity at an institutional level, while others prioritize recruitment and retention of historically marginalized groups. Few initiatives, however, effectively combine the two in order to create concrete action plans to eliminate structural barriers that hinder the retention of minorities in STEM. In this Editorial, we present the history and details of a collaborative effort to improve the academic climate of the Department of Chemistry at University of California, Berkeley. This initiative began in 2016 as a graduate student-led, grassroots movement to develop a method to assess the department's academic climate. Over the past several years-and with support from stakeholders at all levels-it has grown into a department-wide effort to systematically collect data, exchange ideas, and implement goal-oriented interventions to make our academic community more inclusive. With the recent development of a five-year strategic plan and funding increase to provide financial support for student-led programs, we have institutionalized a method to maintain the initiative's momentum. Here, we share our approaches, insights, and perspectives from community members who have shaped this movement. We also provide advice to help other academic communities determine a practical path toward affecting positive cultural change.

Improving the Academic Climate of an R1 STEM Department: Quantified Positive Shifts in Perception.

Ongoing efforts to improve diversity in science, technology, engineering, and mathematics (STEM) primarily manifest as attempts to recruit more women and individuals from historically marginalized groups. Yet, these efforts fail to repair the specific, systemic issues within academic communities that hinder diverse individuals from persisting and thriving in STEM. Here, we present the results of a quantitative, multiyear effort to make the academic climate of an R1 STEM department more inclusive. We use a student-led, department-specific, faculty-supported initiative to assess and improve the climate of the Department of Chemistry at the University of California, Berkeley, as a case study. Our results provide quantitative evidence that community discussions grounded in our own data, alongside cooperative community efforts to address the issues present in those data, are effective methods for driving positive change. Longitudinal assessment of our academic climate from 2018 to 2020 via annual department-wide surveys indicates that these interventions have succeeded in shifting the perception of our academic climate. This study confirms the positive outcomes of having a practical, sustainable, and data-driven framework for affecting change within a graduate community.

Sense of belonging within the graduate community of a research-focused STEM department: Quantitative assessment using a visual narrative and item response theory.

It is well-documented that the representation of women and racial/ethnic minorities diminishes at higher levels of academia, particularly in science, technology, engineering, and math (STEM). Sense of belonging-the extent to which an individual believes they are accepted, valued, and included in a community-is often emphasized as an important predictor of retention throughout academia. While literature addressing undergraduate sense of belonging is abundant, there has been little investigation of sense of belonging in graduate communities. Because graduate training is required to generate new scientific leaders, it is important to understand and address sense of belonging at the graduate level-paying explicit attention to devising strategies that can be used to increase representation at higher levels of academia. Here, a visual narrative survey and item response modeling are used to quantify sense of belonging among graduate students, postdoctoral researchers, and faculty within the Department of Chemistry at the University of California, Berkeley. Results suggest that graduate students, postdoctoral researchers, and faculty all experience impostor phenomenon. Respondents struggle most with maintaining positive self-perceptions of their productivity, capabilities as a scientist, and success-particularly in comparison to their peers. Communicating about science with peers, talking about teaching hurdles, and engaging in mentoring relationships also contribute significantly to sense of belonging. Faculty members have the highest sense of belonging, while senior graduate students and postdoctoral researchers are least likely to feel a sense of belonging. Additionally, graduate students and postdoctoral researchers who identify as underrepresented, as well as those who submit manuscripts for publication less than their peers, are less likely to feel a sense of belonging. This is the first study to generate a quantitative, nuanced understanding of sense of belonging within the entire graduate academic community of an R1 STEM department. We envision that these methods can be implemented within any research-focused academic unit to better understand the challenges facing community members and identify factors to address in promoting positive culture change. Furthermore, these methods and results should provide a foundation for devising interventions that academic stakeholders can use to directly improve graduate education.

Targeting toxic RNAs that cause myotonic dystrophy type 1 (DM1) with a bisamidinium inhibitor.

A working hypothesis for the pathogenesis of myotonic dystrophy type 1 (DM1) involves the aberrant sequestration of an alternative splicing regulator, MBNL1, by expanded CUG repeats, r(CUG)(exp). It has been suggested that a reversal of the myotonia and potentially other symptoms of the DM1 disease can be achieved by inhibiting the toxic MBNL1-r(CUG)(exp) interaction. Using rational design, we discovered an RNA-groove binding inhibitor (ligand 3) that contains two triaminotriazine units connected by a bisamidinium linker. Ligand 3 binds r(CUG)12 with a low micromolar affinity (K(d) = 8 ± 2 µM) and disrupts the MBNL1-r(CUG)12 interaction in vitro (K(i) = 8 ± 2 µM). In addition, ligand 3 is cell and nucleus permeable, exhibits negligible toxicity to mammalian cells, dissolves MBNL1-r(CUG)(exp) ribonuclear foci, and restores misregulated splicing of IR and cTNT in a DM1 cell culture model. Importantly, suppression of r(CUG)(exp) RNA-induced toxicity in a DM1 Drosophila model was observed after treatment with ligand 3. These results suggest ligand 3 as a lead for the treatment of DM1.

Developing bivalent ligands to target CUG triplet repeats, the causative agent of myotonic dystrophy type 1.

An expanded CUG repeat transcript (CUG(exp)) is the causative agent of myotonic dystrophy type 1 (DM1) by sequestering muscleblind-like 1 protein (MBNL1), a regulator of alternative splicing. On the basis of a ligand (1) that was previously reported to be active in an in vitro assay, we present the synthesis of a small library containing 10 dimeric ligands (4-13) that differ in length, composition, and attachment point of the linking chain. The oligoamino linkers gave a greater gain in affinity for CUG RNA and were more effective when compared to oligoether linkers. The most potent in vitro ligand (9) was shown to be aqueous-soluble and both cell- and nucleus-permeable, displaying almost complete dispersion of MBNL1 ribonuclear foci in a DM1 cell model. Direct evidence for the bioactivity of 9 was observed in its ability to disperse ribonuclear foci in individual live DM1 model cells using time-lapse confocal fluorescence microscopy.

A novel CUG(exp)·MBNL1 inhibitor with therapeutic potential for myotonic dystrophy type 1.

Myotonic dystrophy type 1 (DM1) is caused by an expanded CUG repeat (CUG(exp)) that sequesters muscleblind-like 1 protein (MBNL1), a protein that regulates alternative splicing. CUG(exp) RNA is a validated drug target for this currently untreatable disease. Herein, we develop a bioactive small molecule (1) that targets CUG(exp) RNA and is able to inhibit the CUG(exp)·MBNL1 interaction in cells that model DM1. The core of this small molecule is based on ligand 2, which was previously reported to be active in an in vitro assay. A polyamine-derivative side chain was conjugated to this core to make it aqueous-soluble and cell-penetrable. In a DM1 cell model this conjugate was found to disperse CUG(exp) ribonuclear foci, release MBNL1, and partially reverse the mis-splicing of the insulin receptor pre-mRNA. Direct evidence for ribonuclear foci dispersion by this ligand was obtained in a live DM1 cell model using time-lapse confocal microscopy.

Identification of small molecule inhibitors of the HIV-1 nucleocapsid-stem-loop 3 RNA complex.

Stem-loop 3 RNA (SL3) in ψ-RNA is a highly conserved motif in different strains of HIV-1 and serves as a principle determinant for viral packaging. Viral encapsulation is critical for viral replication, and disruption of the nucleocapsid-ψ-RNA complex interferes with viral replication. We have used SL3 RNA as a target for identification of small molecule inhibitors of the interactions of nucleocapsid protein (NCp7) and ψ-RNA. We report the use of computational and high-throughput screening approaches to identify 16 compounds that bind SL3 RNA with micromolar affinities. Among the identified ligands, two molecules, compounds 7 and 17, bind with higher affinity to SL3 RNA than to double- and single-stranded RNAs. Four of the 16 SL3 RNA ligands inhibit interactions between SL3 RNA and NCp7 with micromolar inhibition constants. In general, the identified SL3 ligands have simple molecular structures and low molecular weights and are, therefore, possible lead compounds for the development of ligands that target the elements of ψ-RNA of HIV-1 with high affinity and specificity.

MBNL1-RNA recognition: contributions of MBNL1 sequence and RNA conformation.

Muscleblind-like proteins (MBNL) are RNA-binding proteins that bind to the poly(CUG) and poly(CCUG) sequences that are the causative agents of myotonic dystrophy. It has been suggested that as a result of binding to the repeating RNA sequences, MBNL1 is abnormally expressed and translocated, which leads to many of the misregulated events in myotonic dystrophy. In this work, steady-state fluorescence quenching experiments suggest that MBNL1 alters the structure of helical RNA targets upon binding, which may explain the selectivity of MBNL1 for less structured RNA sites. The removal of one pair of zinc fingers greatly impairs the binding affinity of MBNL1, which indicates that the two pairs of zinc fingers might possibly interact with RNA targets cooperatively. Alanine scanning mutagenesis results suggest that the binding energy may be distributed across the protein. Overall, the results presented here suggest that small molecules that stabilize the helical structure of poly(CUG) and poly(CCUG) RNAs will inhibit the formation of complexes with MBNL1.

Selective inhibition of MBNL1-CCUG interaction by small molecules toward potential therapeutic agents for myotonic dystrophy type 2 (DM2).

Myotonic dystrophy type 2 (DM2) is an incurable neuromuscular disease caused by expanded CCUG repeats that may exhibit toxicity by sequestering the splicing regulator MBNL1. A series of triaminotriazine- and triaminopyrimidine-based small molecules (ligands 1-3) were designed, synthesized and tested as inhibitors of the MBNL1-CCUG interaction. Despite the structural similarities of the triaminotriazine and triaminopyrimidine units, the triaminopyrimidine-based ligands bind with low micromolar affinity to CCUG repeats (K(d) ∼ 0.1-3.6 µM) whereas the triaminotriazine ligands do not bind CCUG repeats. Importantly, these simple and small triaminopyrimidine ligands exhibit both strong inhibition (K(i) ∼ 2 µM) of the MBNL1-CCUG interaction and high selectivity for CCUG repeats over other RNA targets. These experiments suggest these compounds are potential lead agents for the treatment of DM2.

U1A protein-stem loop 2 RNA recognition: prediction of structural differences from protein mutations.

Molecular dynamics (MD) simulations were carried out to compare the free and bound structures of wild type U1A protein with several Phe56 mutant U1A proteins that bind the target stem loop 2 (SL2) RNA with a range of affinities. The simulations indicate the free U1A protein is more flexible than the U1A-RNA complex for both wild type and Phe56 mutant systems. A complete analysis of the hydrogen-bonding (HB) and non-bonded (VDW) interactions over the course of the MD simulations suggested that changes in the interactions in the free U1A protein caused by the Phe56Ala and Phe56Leu mutations may stabilize the helical character in loop 3, and contribute to the weak binding of these proteins to SL2 RNA. Compared with wild type, changes in HB and VDW interactions in Phe56 mutants of the free U1A protein are global, and include differences in ß-sheet, loop 1 and loop 3 interactions. In the U1A-RNA complex, the Phe56Ala mutation leads to a series of differences in interactions that resonate through the complex, while the Phe56Leu and Phe56Trp mutations cause local differences around the site of mutation. The long-range networks of interactions identified in the simulations suggest that direct interactions and dynamic processes in both the free and bound forms contribute to complex stability.

Control of the stability of a protein-RNA complex by the position of fluorine in a base analogue.

The effects of modifying the electronic characteristics of nonpolar base analogues substituted at positions involved in stacking interactions between SL2 RNA and the U1A protein are described. A surprisingly large difference in the stability between complexes formed with base analogues that differ only in the position of substitution of a single fluorine atom is observed. The results of high-level ab initio calculations of the interactions between the nonpolar base analogue and the amino acid side chain correlate with the experimentally observed trends in complex stability, which suggests that changes in stacking interactions that result from varying the position and degree of fluorine substitution contribute to the effects of fluorine substitution on the stability of the U1A-SL2 RNA complex.

Multistep kinetics of the U1A-SL2 RNA complex dissociation.

The U1A-SL2 RNA complex is a model system for studying interactions between RNA and the RNA recognition motif (RRM), which is one of the most common RNA binding domains. We report here kinetic studies of dissociation of the U1A-SL2 RNA complex, using laser temperature jump and stopped-flow fluorescence methods with U1A proteins labeled with the intrinsic chromophore tryptophan. An analysis of the kinetic data suggests three phases of dissociation with time scales of ∼100 µs, ∼50 ms, and ∼2 s. We propose that the first step of dissociation is a fast rearrangement of the complex to form a loosely bound complex. The intermediate step is assigned to be the dissociation of the U1A-SL2 RNA complex, and the final step is assigned to a reorganization of the U1A protein structure into the conformation of the free protein. These assignments are consistent with previous proposals based on thermodynamic, NMR, and surface plasmon resonance experiments and molecular dynamics simulations. Together, these results begin to build a comprehensive model of the complex dynamic processes involved in the formation and dissociation of an RRM-RNA complex.

Cooperative binding of a quinoline derivative to an RNA stem loop containing a dangling end.

The binding of a quinoline derivative (QD2) to a small RNA stem loop containing a 3'-dangling end (RNA1) has been studied. The compound was identified by first performing a similarity search of the NCI database of 250,000 compounds and then using computational docking with autodock to evaluate the binding of the resulting compounds to RNA1. Binding experiments using fluorescence and ITC methods revealed that QD2 binds cooperatively to four binding sites on RNA1 with equilibrium binding dissociation constants ranging from 8.2 (+/-0.3) to 12.5 (+/-4.2) microM. CD and UV titration experiments suggested that binding of QD2 changes the conformation of both RNA1 and the QD2 chromophore and stabilizes RNA1.

A simple ligand that selectively targets CUG trinucleotide repeats and inhibits MBNL protein binding.

This work describes the rational design, synthesis, and study of a ligand that selectively complexes CUG repeats in RNA (and CTG repeats in DNA) with high nanomolar affinity. This sequence is considered a causative agent of myotonic dystrophy type 1 (DM1) because of its ability to sequester muscleblind-like (MBNL) proteins. Ligand 1 was synthesized in two steps from commercially available compounds, and its binding to CTG and CUG repeats in oligonucleotides studied. Isothermal titration calorimetry studies of 1 with various sequences showed a preference toward the T-T mismatch (K(d) of 390 +/- 80 nM) with a 13-, 169-, and 85-fold reduction in affinity toward single C-C, A-A, and G-G mismatches, respectively. Binding and Job analysis of 1 to multiple CTG step sequences revealed high affinity binding to every other T-T mismatch with negative cooperativity for proximal T-T mismatches. The affinity of 1 for a (CUG)(4) step provided a K(d) of 430 nM with a binding stoichiometry of 1:1. The preference for the U-U in RNA was maintained with a 6-, >143-, and >143-fold reduction in affinity toward single C-C, A-A, and G-G mismatches, respectively. Ligand 1 destabilized the complexes formed between MBNL1N and (CUG)(4) and (CUG)(12) with IC(50) values of 52 +/- 20 microM and 46 +/- 7 microM, respectively, and K(i) values of 6 +/- 2 microM and 7 +/- 1 microM, respectively. These values were only minimally altered by the addition of competitor tRNA. Ligand 1 does not destabilize the unrelated RNA-protein complexes the U1A-SL2 RNA complex and the Sex lethal-tra RNA complex. Thus, ligand 1 selectively destabilizes the MBNL1N-poly(CUG) complex.

Identification of specific small molecule ligands for stem loop 3 ribonucleic acid of the packaging signal Psi of human immunodeficiency virus-1.

We have screened the NCI diversity set library for molecules that bind specifically to stem loop 3 (SL3) RNA of the packaging element Psi of HIV-1 using the docking programs DOCK and AutoDock, followed by MD simulations. The association of the predicted ligands with SL3 RNA was characterized using fluorescence, ITC, UV-melting, CD, and footprinting techniques. Nine ligands for SL3 RNA have been identified, four of which bind with higher affinity to SL3 RNA than to either single- or double-stranded RNA motifs. The most selective ligands, 9 (NSC252359) and 5 (NSC123111), bind SL3 RNA with dissociation constants of 11 microM and 98 microM, respectively. Compound 9 binds with 4-7-fold higher affinity to SL3 RNA than to the other tetraloops found in Psi-RNA, SL2 and SL4 RNAs. The results suggest that both 9 and 5 bind to the stem region of SL3 RNA without large distortions of the SL3 RNA.

Molecular recognition of a thymine bulge by a high affinity, deazaguanine-based hydrogen-bonding ligand.

7-Deazaguanine (7-DeG) was developed as a hydrogen-bonding module capable of enhanced recognition of uracil (U) and thymine (T); a water-soluble derivative displayed high affinity and selectivity toward DNA and RNA duplexes containing single T- and U-bulges.