Approximating electronically excited states with equation-of-motion linear coupled-cluster theory

A new perturbative approach to canonical equation-of-motion coupled-cluster theory is presented using coupled-cluster perturbation theory. A second-order M{\o}ller-Plesset partitioning of the Hamiltonian is used to obtain the well known equation-of-motion many-body perturbation theory (EOM-MBPT(2)) equations and two new equation-of-motion methods based on the linear coupled-cluster doubles (EOM-LCCD) and linear coupled-cluster singles and doubles (EOM-LCCSD) wavefunctions. This is achieved by performing a short-circuiting procedure on the MBPT(2) similarity transformed Hamiltonian. These new methods are benchmarked against very accurate theoretical and experimental spectra from 25 small organic molecules. It is found that the proposed methods have excellent agreement with canonical EOM-CCSD state for state orderings and relative excited state energies as well as acceptable quantitative agreement for absolute excitation energies compared with the best estimate theory and experimental spectra.Comment: 9 pages 3 figure

Tissue-dependent T Cell Apoptosis and Transcriptional Regulation of Memory CD8+T Cell Differentiation During Viral Infections: A Dissertation

Activation and proliferation of antigen-specific T cells is the hallmark of an anti-viral immune response. Effector T cells generated during an immune response are heterogeneous in regards to their ability to populate the memory pool once the immune response has resolved. Initial T cell activation takes place in the lymphoid organs, after which T cells migrate into the non-lymphoid tissues. The presence of memory T cells at non-lymphoid tissue sites has been shown to be critical for protection against secondary virus challenge. Our lab has previously demonstrated that during and after the resolution of the immune response to Lymphocytic choriomeningitis virus (LCMV) CD8+T cells in the nonlymphoid tissues are more resistant to apoptosis than those in the lymphoid organs. This stability of T cells in the non-lymphoid tissues may be critical in ensuring protection against a secondary virus challenge. Mechanisms regulating tissue-dependent differences in CD8+T cell apoptosis were studied in an acute LCMV infection model. Virus-specific CD8+T cells from lymphoid (spleen, mesenteric lymph nodes (MLN), inguinal lymph nodes (ILN)) and non-lymphoid tissues (peritoneal exudate cells (PEC), fat-pads) were compared for expression of surface antigenic markers known to correlate with a memory phenotype. Non-lymphoid tissues were enriched in IL-7Rhi, KLRG-1lo, CD27hi and CXCR3hi virus-specific CD8+ T cells, and the presence of these antigenic markers correlated with increased memory potential and survival. Transcription factors in addition to cell surface antigens were assessed as correlates of resistance to apoptosis. Virus-specific CD8+T cells in the nonlymphoid tissues were enriched in cells expressing T cell factor-1 (TCF-1), which correlated with increased memory potential and survival. CD8+T cells in the peritoneum of TCF-1-deficient mice had decreased survival during resolution of the immune response to LCMV, suggesting a role for TCF-1 in promoting survival in the non-lymphoid tissues. As an additional mechanism, I investigated whether apoptosis-resistant CD8+T cells migrate to non-lymphoid tissues and contribute to tissue-dependent apoptotic differences. CXCR3+ CD8+T cells resisted apoptosis and accumulated in the lymph nodes of mice treated with FTY720, which blocks the export of lymph node cells into the peripheral tissues. The PECs expressed increased amounts of CXCR3 ligands, CXCL9 and CXCL10, which may have recruited the non-apoptotic cells from the lymph nodes. By adoptively transferring splenic T cells into the spleen or PEC environment I showed that the peritoneal environment through a yet undefined factor promoted survival of CD8+T cells. In this study I have elucidated the mechanisms by which CD8+T cells preferentially survive in the non-lymphoid tissues. I found that non-lymphoid tissues were enriched in memory-phenotype CD8+T cells which were intrinsically resistant to apoptosis irrespective of the tissue environment. Furthermore, apoptosisresistant CD8+T cells may preferentially migrate into the non-lymphoid tissues where the availability of tissue-specific factors may enhance memory cell survival. Few transcription factors have been identified that regulate CD8+T cell effector-memory differentiation during an immune response. In this thesis, I have also studied the mechanism by which the transcription factor Blimp-1 regulates the generation of effector and memory CD8+T cells. Blimp-1 is known to repress a large number of target genes, and ChIP (chromatin immunoprecipitation) sequencing analysis done by Dr. HyunMu Shin in the lab of Dr. Leslie J. Berg identified CD25 (IL-2Rα) and CD27 as potential targets of Blimp-1. I found that Blimp-1-deficient CD8+T cells had sustained expression of CD25 (IL-2Rα) and CD27 during peak and resolution of the immune response to LCMV. By performing adoptive transfers of CD25hi and CD27hi CD8+T cells I showed that CD25 and CD27 expression on CD8+T cells during resolution of the immune response correlates with enhanced survival. Silencing Il2rα and Cd27 expression reduced the Blimp-1-deficient CD8+T cell response, suggesting that sustained expression of CD25 and CD27 was in part responsible for the enhanced CD8+T cell response seen in the Blimp-1-deficient mice. Furthermore, our collaborator Dr. HyunMu Shin showed that CD25 and CD27 are direct targets of Blimp-1, and that Blimp-1 recruits histone modifying enzymes to Il2rα and Cd27 loci to suppress their expression during the peak of the anti-viral immune response. This study identifies one of the mechanisms by which Blimp-1 regulates the balance between generation of effector and memory CD8+T cells. In this thesis work I also studied the function of the transcription factor ROG (Repressor of GATA-3) in regulating in vivo T cell responses during both acute and chronic LCMV infection. ROG-deficient mice had increased CD8+T cell responses during an acute LCMV infection. ROG deficiency also led to the generation of memory T cells with an enhanced recall response compared to WT controls. By using LCMV-specific P14+ TCR transgenic ROG-deficient CD8+T cells these defects were shown to be T cell intrinsic. ROG-deficient mice had enhanced CD8+T cell responses and viral clearance during a persistent high dose LCMV Clone 13 infection. During chronic LCMV infection ROG-deficient mice also had increased lung pathology and mortality. The results indicate that ROG negatively regulates T cell responses and memory generation during both acute and chronic LCMV infection. The studies highlighted in this thesis elucidate the mechanisms promoting CD8+T cell survival in non-lymphoid tissues as well as transcription factormediated regulation of memory CD8+T cell differentiation. Knowledge of this will help us better understand T cell immunity after infections and may eventually help develop better vaccines

Low Degree Metabolites Explain Essential Reactions and Enhance Modularity in Biological Networks

Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes and reactions that are essential for the organism. A goal of computational and systems biology is to go beyond identification towards an explanation of specific modules and essential genes and reactions in terms of specific structural or evolutionary constraints. In the metabolic networks of E. coli, S. cerevisiae and S. aureus, we identified metabolites with a low degree of connectivity, particularly those that are produced and/or consumed in just a single reaction. Using FBA we also determined reactions essential for growth in these metabolic networks. We find that most reactions identified as essential in these networks turn out to be those involving the production or consumption of low degree metabolites. Applying graph theoretic methods to these metabolic networks, we identified connected clusters of these low degree metabolites. The genes involved in several operons in E. coli are correctly predicted as those of enzymes catalyzing the reactions of these clusters. We independently identified clusters of reactions whose fluxes are perfectly correlated. We find that the composition of the latter `functional clusters' is also largely explained in terms of clusters of low degree metabolites in each of these organisms. Our findings mean that most metabolic reactions that are essential can be tagged by one or more low degree metabolites. Those reactions are essential because they are the only ways of producing or consuming their respective tagged metabolites. Furthermore, reactions whose fluxes are strongly correlated can be thought of as `glued together' by these low degree metabolites.Comment: 12 pages main text with 2 figures and 2 tables. 16 pages of Supplementary material. Revised version has title changed and contains study of 3 organisms instead of 1 earlie

A single molecule switch based on two Pd nanocrystals linked by a conjugated dithiol

Tunneling spectroscopy measurements have been carried out on a single molecule device formed by two Pd nanocrystals (dia, $\sim$5 nm) electronically coupled by a conducting molecule, dimercaptodiphenylacetylene. The I-V data, obtained by positioning the tip over a nanocrystal electrode, exhibit negative differential resistance (NDR) on a background M-I-M characteristics. The NDR feature occurs at $\sim$0.67 V at 300 K and shifts to a higher bias of 1.93 V at 90 K. When the tip is held in the middle region of the device, a coulomb blockade region is observed ($\pm\sim$0.3 V).Comment: Accepted in Praman

Probing Cosmic Acceleration Beyond the Equation of State: Distinguishing between Dark Energy and Modified Gravity Models

If general relativity is the correct theory of physics on large scales, then there is a differential equation that relates the Hubble expansion function, inferred from measurements of angular diameter distance and luminosity distance, to the growth rate of large scale structure. For a dark energy fluid without couplings or an unusual sound speed, deviations from this consistency relationship could be the signature of modified gravity on cosmological scales. We propose a procedure based on this consistency relation in order to distinguish between some dark energy models and modified gravity models. The procedure uses different combinations of cosmological observations and is able to find inconsistencies when present. As an example, we apply the procedure to a universe described by a recently proposed 5-dimensional modified gravity model. We show that this leads to an inconsistency within the dark energy parameter space detectable by future experiments.Comment: 8 pages, 7 figures; expanded paper; matches PRD accepted version; corrected growth rate formula; main results and conclusion unchange