BMC Biotechnology - Latest Comments

Details of preparing the solubilized extract for RNeasy column isolation of the RNA

Elizabeth Floyd — 2012-10-24T15:40:41Z

The solubilized bone extract is separated from the bone material by centrifugation at 8,600 x g for 15 seconds at room temperature as described in the manuscript. The solubilized extract is then transferred to a new microtube and the TriReagent is removed from the solubilized extract by adding chloroform at a TriReagent:chloroform ratio of 5:1. So we add 0.2 ml chloroform to the extract and mix by inverting the tube a few times. The phases are allowed to begin separating at room temperature x 4-5 minutes before centrifuging at 12,000 x g for 15 minutes at 4C. The resulting supernatant** (aqueous phase) is transferred to a new microfuge tube and 1 volume of 70% ethanol is added to the extract before placing the extract-ethanol mixture onto the RNeasy column.

**If the supernatant has a pink color at this point, indicating the TriReagent phenol has not been completely removed, we add an additional 0.1ml chloroform and repeat the subsequent steps. This has always taken care of removing all of the TriReagent components from the extract.

Abstract correction

Fernando Lopez Gallego — 2011-12-19T10:17:49Z

In the abstract, the sentence " to asymmetric reduction of prochiral substrates in order to obtain enantiopure compounds." is wrong and we meant "to enantionselective oxidation of racemic substrates in order to obtain enatiopure compounds."

Correction

Hilko van der Voet — 2011-03-25T14:25:21Z

Unfortunately, an error ocurred during the final phase of publishing.

In the section Methods, subsection Linear mixed models, there is a numbered list summarizing the appropriate calculations for performing the difference and equivalence tests.
Under numbers 2 and 4 in this list, the first argument of the lsd function in the equations for the confidence limits should be GR instead of GC.

current adress

mickael malnoy — 2010-12-16T14:28:18Z

Mickael MALNOY PhD
Research and Innovation Center
Structural and Functional Genomics
Fondazione Edmund Mach (FEM)
Istituto Agrario San Michele (IASMA)
Via Mach 1,
38010 San Michele all'Adige (TN)
Italy

Phone office: +39 0461 61 55 36 begin_of_the_skype_highlighting +39 0461 61 55 36 end_of_the_skype_highlighting
Phone lab: +39 0461 61 54 16
Fax: +39 0461 65 09 56

Website: www.fondazioneedmundmach.eu
E-mail: mickael.malnoy@iasma.it

Figure 1

matthias braun — 2010-10-01T19:17:31Z

The pattern of green fluorescence in Fig. 1C looks quite different from Fig. 1A: the fluorescence is punctate and does not appear cytosolic as in 1A. Have both images been obtained under the same conditions, e.g. with similar laser power? Can it be excluded that Fig. 1C shows autofluorescence following strong excitation?

Updated version for the Java program

Bob Rutledge — 2009-10-15T10:32:23Z

The prototypic Java program provided as supplementary materials has been updated, which fixes a number of bugs and provides a somewhat improved algorithm for LRE window selection. A copy of this updated program can be obtained by request to the corresponding author.

Are Antibodies better than Antibiotics?

Marko Radic — 2009-09-23T09:50:11Z

The overuse of antibiotics is contributing to problems of drug resistance and outbreaks of exotic parasites in poultry. Alternatives are sorely needed. Here is an approach using recombinant antibodies expressed in feed plants to passively provide "immunity" to birds. Will there be an outcry over using recombinant DNA that is one step removed from the human consumer? Are dangers (perceived and real) associated with GMF also applicable to the consumption of chickens that feed on a genetically-modified plant? Presumably, a breast or drumstick of such a bird would not contain any traces of the antibody proteins. Still a concern?

Equation 2 is incorrect

Bob Rutledge — 2008-10-23T16:06:48Z

Equation 2 should read:

E = 10^-Slope - 1

It is also important to note that it is essential to fix the fluorescence threshold (Ft) to a single value across all runs, in order to avoid artificial quantitative variances.

The mathematics of standard curve construction and evaluation of quantitative variance generated by standard curves are addressed in detail in an earlier study:

Rutledge RG, Côté C: Mathematics of quantitative kinetic PCR and the application of standard curves.

Nucleic Acids Res 2003, 31(16):e93.