Direct measurement of the evolution of magnetism and superconductivity toward the quantum critical point.

Nontrivial quantum states can be realized in the vicinity of the quantum critical point (QCP) in many strongly correlated electron systems. In particular, an emergence of unconventional superconductivity around the QCP strongly suggests that the quantum critical fluctuations play a central role in the superconducting pairing mechanism. However, a clear signature of the direct coupling between the superconducting pairing states and the quantum criticality has not yet been elucidated by the microscopic probes. Herein, we present muon spin rotation/relaxation and neutron diffraction measurements in the superconducting dome of CeCo(In1 - xZnx)5. It was found that a magnetically ordered state develops at x≥ 0.03, coexisting with the superconductivity. The magnitude of the ordered magnetic moment is continuously reduced with decreasing x, and it disappears below x∼ 0.03, indicating a second-order phase transition and the presence of the QCP at this critical Zn concentration. Furthermore, the magnetic penetration depth diverges toward the QCP. These facts provide evidence for the intimate coupling between quantum criticality and Cooper pairing.

Real-Life Efficacy of Osimertinib in Pretreated Octogenarian Patients with T790M-Mutated Advanced Non-small Cell Lung Cancer.

BACKGROUND: The resistance mutation T790M is reported in 50-60% of patients pretreated with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). Osimertinib has been approved in these patients, but data in octogenarians remain rare. OBJECTIVE: The objective of this retrospective analysis was to evaluate in real life the efficacy of osimertinib in a population of octogenarian patients. METHODS: This retrospective multicentric study included pretreated octogenarian patients with EGFR T790M-mutated advanced non-small cell lung cancer (NSCLC) in the setting of the French early access program for osimertinib. The primary endpoints were progression-free survival (PFS) and overall survival (OS) from osimertinib initiation. RESULTS: In total, 43 patients were included (mean age 84.6 years; women 90.7%: adenocarcinoma 100%; never smokers 90.5%; at osimertinib initiation: performance status ≥ 2, 42.4%; stage 4, 93.0%; brain metastases 16.3%). Patients received a median of two lines of treatment before osimertinib initiation, and all received first- or second-generation EGFR TKIs before osimertinib (first line in 79.1%). Osimertinib was used as a second-line treatment in 41.9% of cases and third line or more in 58.1%. Median PFS was 17.5 (95% confidence interval [CI] 12.2-19.0) months for the entire population: 20.6 (95% CI 18.8-not reached) months in patients with brain metastases and 16.7 (95% CI 10.4-18.9) months in patients without (p = 0.1). There was no significant difference for osimertinib treatment as second or third line or more (17.1 vs. 18.6 months, respectively). OS was 22.8 (95% CI 15.7-not reached) months from osimertinib initiation. CONCLUSION: The efficacy of osimertinib as second-line treatment or more in octogenarian pretreated patients with EGFR T790M-mutated advanced NSCLC in a real-life setting was similar to that in randomized controlled trials.

A Nonsmoker Man in His 40s With a Diagnosis of Genetic-Related Idiopathic Pulmonary Fibrosis (Surfactant-Protein C Gene Mutation).

A nonsmoker man in his 40s underwent bilateral lung transplantation with a referral diagnosis of genetic-related idiopathic pulmonary fibrosis (IPF). The patient had no medical history in childhood and early adulthood, nor was there a family history of IPF. His nonsmoker father presented with lung cancer at 59 years of age. The patient was a professional brass instrument player; he had started playing at 9 years of age, and he was recently playing 3 to 4 h per day. He had a 7-year clinical history of chronic cough and shortness of breath. Bilateral fine crackles were present at clinical examination. There was no digital clubbing. Data had been collected since 2015: no clinical or immunologic signs of connective tissue disease were evident, including autoantibodies for myositis or anti-synthetase syndrome. Chest radiograph showed diffuse interstitial lung disease. Results of pulmonary function tests yielded a restrictive pattern with decreased FVC and decreased total lung capacity (69% and 47% of predicted, respectively). The FEV1/FVC ratio was 86%, and carbon monoxide transfer coefficient was 36% of predicted. BAL cellular analysis consisted of macrophages (66%), lymphocytes (19%; CD4+/CD8+ ratio, 0.16), neutrophils (10%), and eosinophils (5%).

Field-induced magnetic instability within a superconducting condensate.

The application of magnetic fields, chemical substitution, or hydrostatic pressure to strongly correlated electron materials can stabilize electronic phases with different organizational principles. We present evidence for a field-induced quantum phase transition, in superconducting Nd0.05Ce0.95CoIn5, that separates two antiferromagnetic phases with identical magnetic symmetry. At zero field, we find a spin-density wave that is suppressed at the critical field µ0H* = 8 T. For H > H*, a spin-density phase emerges and shares many properties with the Q phase in CeCoIn5. These results suggest that the magnetic instability is not magnetically driven, and we propose that it is driven by a modification of superconducting condensate at H*.

Evidence for Coexistence of Bulk Superconductivity and Itinerant Antiferromagnetism in the Heavy Fermion System CeCo(In(1-x)Cdx)5.

In the generic phase diagram of heavy fermion systems, tuning an external parameter such as hydrostatic or chemical pressure modifies the superconducting transition temperature. The superconducting phase forms a dome in the temperature-tuning parameter phase diagram, which is associated with a maximum of the superconducting pairing interaction. Proximity to antiferromagnetism suggests a relation between the disappearance of antiferromagnetic order and superconductivity. We combine muon spin rotation, neutron scattering, and x-ray absorption spectroscopy techniques to gain access to the magnetic and electronic structure of CeCo(In(1-x)Cdx)5 at different time scales. Different magnetic structures are obtained that indicate a magnetic order of itinerant character, coexisting with bulk superconductivity. The suppression of the antiferromagnetic order appears to be driven by a modification of the bandwidth/carrier concentration, implying that the electronic structure and consequently the interplay of superconductivity and magnetism is strongly affected by hydrostatic and chemical pressure.

Quantum critical point of an itinerant antiferromagnet in a heavy fermion.

A quantum critical point of the heavy fermion Ce(Ru(1-x)Rh(x))2Si2, (x = 0,0.03) has been studied by single-crystalline neutron scattering. By accurately measuring the dynamical susceptibility at the antiferromagnetic wave vector k3 = 0.35c*, we have shown that the inverse energy width gamma(k3), i.e., the inverse correlation time, depends on temperature as gamma(k3) = c1 + c2T((3/2)+/-0.1), where c1 and c2 are x dependent constants, in a low temperature range. This critical exponent 3/2 +/- 0.1 proves that the quantum critical point is controlled by that of the itinerant antiferromagnet.

Design of a data model for developing laboratory information management and analysis systems for protein production.

Data management has emerged as one of the central issues in the high-throughput processes of taking a protein target sequence through to a protein sample. To simplify this task, and following extensive consultation with the international structural genomics community, we describe here a model of the data related to protein production. The model is suitable for both large and small facilities for use in tracking samples, experiments, and results through the many procedures involved. The model is described in Unified Modeling Language (UML). In addition, we present relational database schemas derived from the UML. These relational schemas are already in use in a number of data management projects.

A data management system for structural genomics.

BACKGROUND: Structural genomics (SG) projects aim to determine thousands of protein structures by the development of high-throughput techniques for all steps of the experimental structure determination pipeline. Crucial to the success of such endeavours is the careful tracking and archiving of experimental and external data on protein targets. RESULTS: We have developed a sophisticated data management system for structural genomics. Central to the system is an Oracle-based, SQL-interfaced database. The database schema deals with all facets of the structure determination process, from target selection to data deposition. Users access the database via any web browser. Experimental data is input by users with pre-defined web forms. Data can be displayed according to numerous criteria. A list of all current target proteins can be viewed, with links for each target to associated entries in external databases. To avoid unnecessary work on targets, our data management system matches protein sequences weekly using BLAST to entries in the Protein Data Bank and to targets of other SG centers worldwide. CONCLUSION: Our system is a working, effective and user-friendly data management tool for structural genomics projects. In this report we present a detailed summary of the various capabilities of the system, using real target data as examples, and indicate our plans for future enhancements.

Coverage of protein sequence space by current structural genomics targets.

By its purest definition the ultimate goal of structural genomics (SG) is the determination of the structures of all proteins encoded by genomes. Most of these will be obtained by homology modeling using the structures of a set of target proteins for experimental determination. Thanks to the open exchange of SG target information, we are able to analyze the sequences of the current target list to evaluate the extent of its coverage of protein sequence space. The presence of homologous sequences currently either in the Protein Data Bank (PDB) or among SG targets has been determined for each of the protein sequences in several organisms. In this way we are able to evaluate the coverage by existing or targeted structural data for the non-membranous parts of entire proteomes. For small bacterial proteomes such as that of H. influenzae almost all proteins have homologous sequences among SG targets or in the PDB. There is significantly lower coverage for more complex organisms, such as C. elegans. We have mapped the SG target list onto the ProtoMap clustering of protein sequences. Clusters occupied by SG targets represent over 150,000 protein sequences, which is approximately 44% of the total protein sequences classified by ProtoMap. The mapping of SG targets also enables an evaluation of the degree of overlap within the target list. An SG target typically occupies a ProtoMap cluster with more than six other homologous targets.

Cocrystallization model for synthetic biodegradable poly(butylene adipate-co-butylene terephthalate).

Synthetic biodegradable poly(butylene adipate-co-butylene terephthalate), P(BA-co-BT), with 56 mol % butylene adipate, BA, was characterized by solid-state NMR spectroscopy, thermal analysis, X-ray diffraction, computer modeling, and polarization microscopy. The NMR study showed the presence of BA and butylene terephthalate, BT. T(1C) NMR measurements proved that some BA and BT units were in crystalline regions. Thermal analysis showed one glass-transition temperature and a single diffuse melting endotherm corresponding to a large melting-point depression of about 100 degrees C compared with poly(butylene terephthalate), PBT. These results suggest that there is only one crystalline phase. An X-ray fiber diagram of a stretched film could be indexed with the same unit cell as that for PBT. Computer modeling showed that the adipate unit fits into the crystal structure of PBT by adopting a TTGTG dihedral angle sequence in the crystalline conformation proposed for the cocrystallization model. The predicted fiber diagram from the proposed model qualitatively agrees with the experimental one. Polarization microscopy revealed that the spherulite growth rate of P(BA-co-BT) was similar to that for poly(butylene adipate), PBA.