Results 71 to 80 of about 55,503 (265)

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

FEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R. Harcombe, Radhakrishnan Mahadevan, Ashley E. Beck   +6 more
wiley   +1 more source

ZFIRE : the evolution of the stellar mass Tully-Fisher relation to redshift ∼ 2.2

, 2017
Using observations made with MOSFIRE on Keck I as part of the ZFIRE survey, we present the stellar mass Tully-Fisher relation at 2.0 < z < 2.5. The sample was drawn from a stellar-mass-limited, K-s-band-selected catalog from ZFOURGE over the CANDELS area
Tran, Kim-Vy H, Cowley, M., Glazebrook, Karl, Cowley, Michael, Kim-Vy H. Tran, Straatman, Caroline, Kacprzak, Glenn G., Karl Glazebrook, Lisa J. Kewley, Spitler, Lee R., Lee R. Spitler, Ivo Labbé, Kewley, L.J., Themiya Nanayakkara, Straatman, Caroline M. S., Caroline M. S. Straatman, Glazebrook, K., Glenn G. Kacprzak, Yuan, Tiantian, Spitler, L.R., Yuan, T., Nanayakkara, W.T.T., Alcorn, L., Spitler, Lee R, Leo Alcorn, Michael Cowley, Kacprzak, G.G., Tran, Kim-Vy H., Kewley, Lisa J., Tran, K.-V.H., Kacprzak, Glenn G, Tiantian Yuan, Labbé, I.F.L., Alcorn, Leo, Straatman, C.M.S., Labbe, Ivo, Kewley, Lisa J, Nanayakkara, Themiya   +37 more
core   +1 more source

Euclid preparation

Astronomy & Astrophysics
The Cosmic Dawn Survey pre-launch catalogues cover an effective 10.13 deg2 area with uniform deep Spitzer/IRAC data (m ∼ 25 mag, 5σ), the largest area covered to these depths at IR wavelengths.
Zalesky L., Weaver J. R., McPartland C. J. R., Murphree G., Valdes I., Jespersen C. K., Taamoli S., Chartab N., Allen N., Barrow S. W. J., Sanders D. B., Toft S., Mobasher B., Szapudi I., Altieri B., Amara A., Andreon S., Auricchio N., Baccigalupi C., Baldi M., Bardelli S., Battaglia P., Biviano A., Bonino D., Branchini E., Brescia M., Brinchmann J., Caillat A., Camera S., Cañas-Herrera G., Capobianco V., Carbone C., Carretero J., Casas S., Castander F. J., Castellano M., Castignani G., Cavuoti S., Chambers K. C., Cimatti A., Colodro-Conde C., Congedo G., Conselice C. J., Conversi L., Copin Y., Courbin F., Courtois H. M., Da Silva A., Degaudenzi H., De Lucia G., Di Giorgio A. M., Dole H., Dubath F., Duncan C. A. J., Dupac X., Dusini S., Ealet A., Escoffier S., Farina M., Farinelli R., Farrens S., Faustini F., Ferriol S., Finelli F., Fosalba P., Fotopoulou S., Frailis M., Franceschi E., Fumana M., George K., Gillis B., Giocoli C., Gracia-Carpio J., Grazian A., Grupp F., Gwyn S., Haugan S. V. H., Holmes W., Hook I., Hormuth F., Hornstrup A., Jahnke K., Jhabvala M., Joachimi B., Keihänen E., Kermiche S., Kiessling A., Kubik B., Kuijken K., Kümmel M., Kunz M., Kurki-Suonio H., Le Brun A. M. C., Le Mignant D., Ligori S., Lilje P. B., Lindholm V., Lloro I., Mainetti G., Maino D., Maiorano E., Mansutti O., Marggraf O., Markovic K., Martinelli M., Martinet N., Marulli F., Massey R., Maurogordato S., McCracken H. J., Medinaceli E., Mei S., Mellier Y., Meneghetti M., Merlin E., Meylan G., Mora A., Moresco M., Moscardini L., Nakajima R., Neissner C., Niemi S.-M., Nightingale J. W., Padilla C., Paltani S., Pasian F., Pedersen K., Pettorino V., Polenta G., Poncet M., Popa L. A., Pozzetti L., Raison F., Rebolo R., Renzi A., Rhodes J., Riccio G., Romelli E., Roncarelli M., Saglia R., Sakr Z., Sapone D., Sartoris B., Schewtschenko J. A., Schirmer M., Schneider P., Schrabback T., Secroun A., Sefusatti E., Seidel G., Serrano S., Simon P., Sirignano C., Sirri G., Stanco L., Starck J.-L., Steinwagner J., Tallada-Crespí P., Tavagnacco D., Taylor A. N., Teplitz H. I., Tereno I., Toledo-Moreo R., Torradeflot F., Tsyganov A., Tutusaus I., Valenziano L., Valiviita J., Vassallo T., Verdoes Kleijn G., Veropalumbo A., Wang Y., Weller J., Zacchei A., Zamorani G., Zucca E., Bolzonella M., Bozzo E., Burigana C., Calabrese M., Di Ferdinando D., Escartin Vigo J. A., Gabarra L., Matthew S., Mauri N., Pezzotta A., Pöntinen M., Porciani C., Scottez V., Tenti M., Viel M., Wiesmann M., Akrami Y., Allevato V., Andika I. T., Anselmi S., Archidiacono M., Atrio-Barandela F., Ballardini M., Bertacca D., Bethermin M., Blanchard A., Blot L., Borgani S., Brown M. L., Bruton S., Cabanac R., Calabro A., Camacho Quevedo B., Cappi A., Caro F., Carvalho C. S., Castro T., Chary R., Cogato F., Contini T., Cooray A. R., Cucciati O., Davini S., De Paolis F., Desprez G., Díaz-Sánchez A., Di Domizio S., Diego J. M., Ferrari A. G., Finoguenov A., Ganga K., García-Bellido J., Gasparetto T., Gaztanaga E., Giacomini F., Gianotti F., Gozaliasl G., Gregorio A., Guidi M., Gutierrez C. M., Hall A., Hartley W. G., Hemmati S., Hildebrandt H., Hjorth J., Huertas-Company M., Ilbert O., Kajava J. J. E., Kang Y., Kansal V., Karagiannis D., Kirkpatrick C. C., Kruk S., Lattanzi M., Le Graet J., Legrand L., Lembo M., Leroy G., Lesgourgues J., Liaudat T. I., Loureiro A., Macias-Perez J., Maggio G., Magliocchetti M., Mancini C., Mannucci F., Maoli R., Martín-Fleitas J., Martins C. J. A. P., Maurin L., Metcalf R. B., Miluzio M., Monaco P., Moretti C., Morgante G., Murray C., Naidoo K., Natoli P., Navarro-Alsina A., Nesseris S., Paterson K., Patrizii L., Pisani A., Potter D., Risso I., Rocci P.-F., Sahlén M., Sarpa E., Schaye J., Schneider A., Schultheis M., Sciotti D., Sellentin E., Sereno M., Shankar F., Smith L. C., Stanford S. A., Tanidis K., Tao C., Testera G., Teyssier R., Tosi S., Troja A., Tucci M., Valieri C., Venhola A., Vergani D., Verza G., Vielzeuf P., Walton N. A.   +305 more
doaj   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Modelling the hidden magnetic field of low-mass stars

, 2014
PL acknowledges support from a Science and Technology Facilities Council studentship. JM, AAV and RF acknowledge support from fellowships of the Alexander von Humboldt foundation, the Royal Astronomical Society and Science and Technology Facilities ...
Morin, J., Jeffers, S., Fares, R., Donati, J-F., Donati, J. -F., Jardine, M., Morin, Julien, Lang, P., Vidotto, A. A.   +8 more
core   +1 more source

Mass of the dynamically hot inner stellar halo predicts the ancient accreted stellar mass

, 2022
Galactic dynamical structures are fossil records of the assembly histories of galaxies. By analyzing the cosmological hydrodynamical simulation TNG50, we find that a dynamical structure that we call the “hot inner stellar halo”, defined by stars on ...
Mark Vogelsberger, Nelson, D., Annalisa Pillepich, van de Ven, Glenn, van de Ven, G., Leaman, R., Glenn van de Ven, Dylan Nelson, Zhu, Ling, Zhu, L., Hernquist, L., Leaman, Ryan, Hernquist, Lars, Zhang, L., Lars Hernquist, Vogelsberger, M., Zhang, Le, Ryan Leaman, Ruediger Pakmor, Le Zhang, Vogelsberger, Mark, Pakmor, R., Pakmor, Ruediger, Pillepich, Annalisa, Nelson, Dylan, Pillepich, A.   +25 more
core   +1 more source

The Growth of Galaxy Stellar Haloes over 0.2 ≤ z ≤ 1.1

The Astrophysical Journal
Galaxies are predicted to assemble their stellar haloes through the accretion of stellar material from interactions with their cosmic environment. Observations that trace stellar halo buildup probe the processes that drive galaxy size and stellar mass ...
Devin J. Williams, Ivana Damjanov, Marcin Sawicki, Harrison Souchereau, Lingjian Chen, Guillaume Desprez, Angelo George, Marianna Annunziatella, Stéphane Arnouts, Stephen Gwyn, Danilo Marchesini, Anna Sajina   +11 more
doaj   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

STELLAR MASS VERSUS STELLAR VELOCITY DISPERSION: WHICH IS BETTER FOR LINKING GALAXIES TO THEIR DARK MATTER HALOS?

, 2013
It was recently suggested that compared to its stellar mass (M-*), the central stellar velocity dispersion (sigma(*)) of a galaxy might be a better indicator for its host dark matter halo mass.
Li, Cheng, Wang, Lixin, Jing, Y. P.
core  

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source