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	<title>Bitesize Bio</title>
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	<description>Brain Food for Biologists</description>
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		<title>How to Detect Low-affinity Protein Binding Without Surface Plasmon Resonance</title>
		<link>https://bitesizebio.com/86658/detect-low-affinity-binding/</link>
		
		<dc:creator><![CDATA[Sartorius]]></dc:creator>
		<pubDate>Tue, 14 Apr 2026 09:39:14 +0000</pubDate>
				<category><![CDATA[Chemistry for Biologists]]></category>
		<category><![CDATA[Sartorius]]></category>
		<category><![CDATA[biolayer interferometry]]></category>
		<category><![CDATA[biosensor]]></category>
		<category><![CDATA[microfluidics]]></category>
		<category><![CDATA[sponsored]]></category>
		<category><![CDATA[SPR]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=86658</guid>

					<description><![CDATA[Find out how to detect low-affinity protein binding without using SPR. The Octet® R8e BLI system bridges the gap between speed, simplicity, and sensitivity, transforming drug discovery workflows. ]]></description>
		
		
		
			</item>
		<item>
		<title>Using Scientific Animation to Present Complex Biological Mechanisms</title>
		<link>https://bitesizebio.com/87226/scientific-animation/</link>
		
		<dc:creator><![CDATA[Simon Reid]]></dc:creator>
		<pubDate>Tue, 31 Mar 2026 10:45:32 +0000</pubDate>
				<category><![CDATA[Writing, Publishing and Presenting]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=87226</guid>

					<description><![CDATA[Biological mechanisms are, by their nature, dynamic. They involve interaction, causality, and specific sequences that unfold over time. Standard scientific communication, however, tends to use static media that cannot represent time. This means that when you show a complex signalling pathway on a slide, your audience must first decode the spatial relationships, then infer the...]]></description>
		
		
		
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			<media:title type="plain">Genomic Medicine</media:title>
			<media:description type="html"><![CDATA[DNA Repair After Genome Editing

“DNA’s Moment of Repair” is a standalone sequence extracted from a broader mechanism of action (MOA) animation focused on gene editing therapies. This segment highlights the cellular DNA repair response following a targeted double-strand break (DSB), a critical determinant of therapeutic outcome in genome editing approaches.
Following nuclease-induced DNA cleavage, cells predominantly engage either non-homologous end joining (NHEJ) or homology-directed repair (HDR) pathways to restore genomic integrity. The efficiency, timing, and fidelity of these repair mechanisms directly influence the success of gene correction or disruption strategies in both somatic and germline editing contexts. [1,2]
This clip visualizes the repair phase in isolation, offering a molecular-level perspective on the processes that underpin genomic stability and therapeutic precision in emerging gene editing platforms.

References:
1.     Scully R, Panday A, Elango R, Willis NA. DNA double-strand break repair-pathway choice in somatic mammalian cells. Nat Rev Mol Cell Biol. 2019;20(11):698–714. https://doi.org/10.1038/s41580-019-0152-0
2.       Yeh CD, Richardson CD, Corn JE. Advances in genome editing through control of DNA repair pathways. Nat Cell Biol. 2019;21(12):1468–1478. https://doi.org/10.1038/s41556-019-0425-z]]></media:description>
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		<item>
		<title>The Evolution of Gel and Blot Imaging From Film to Lasers</title>
		<link>https://bitesizebio.com/86597/evolution-of-blot-imaging/</link>
		
		<dc:creator><![CDATA[Azure Biosystems]]></dc:creator>
		<pubDate>Tue, 17 Mar 2026 11:06:18 +0000</pubDate>
				<category><![CDATA[Azure Biosystems]]></category>
		<category><![CDATA[Basic Lab Skills and Know-how]]></category>
		<category><![CDATA[DNA gel]]></category>
		<category><![CDATA[imaging]]></category>
		<category><![CDATA[laser imaging]]></category>
		<category><![CDATA[sponsored]]></category>
		<category><![CDATA[Western blot]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=86597</guid>

					<description><![CDATA[Gel and blot imaging has come a long way. Film gave you sensitivity but slowed you down with darkrooms and inconsistent results. Camera systems sped things up but still left you fighting noise and limited dynamic range. Laser imaging now gives you cleaner signals, sharper focus, and far more flexibility across sample types.]]></description>
		
		
		
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		<title>Interpreting Cellular Metabolism Assays: How Metabolic Crossroads Reveal What Cells Are Really Doing</title>
		<link>https://bitesizebio.com/87214/interpreting-cellular-metabolism-assays/</link>
		
		<dc:creator><![CDATA[Promega]]></dc:creator>
		<pubDate>Fri, 27 Feb 2026 12:45:00 +0000</pubDate>
				<category><![CDATA[Promega]]></category>
		<category><![CDATA[Techniques]]></category>
		<category><![CDATA[cellular metabolism]]></category>
		<category><![CDATA[metabolic assays]]></category>
		<category><![CDATA[mitochondrial function]]></category>
		<category><![CDATA[pyruvate metabolism]]></category>
		<category><![CDATA[sponsored]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=87214</guid>

					<description><![CDATA[When interpreting cellular metabolism assays, focusing on single pathways can be misleading, as metabolism operates as a connected network. Metabolites such as pyruvate, malate, glycogen, branched-chain amino acids, and β-hydroxybutyrate sit at key metabolic crossroads, where changes reflect shifts in energy routing, redox balance, and stress adaptation. Understanding these junctions helps you evaluate metabolic data more accurately and design experiments that capture the true cellular state.]]></description>
		
		
		
			</item>
		<item>
		<title>Career Planning for Bioscientists in a Changing Job Market</title>
		<link>https://bitesizebio.com/87125/career-planning/</link>
		
		<dc:creator><![CDATA[Gertrude Nonterah]]></dc:creator>
		<pubDate>Tue, 17 Feb 2026 09:33:58 +0000</pubDate>
				<category><![CDATA[Career Development and Networking]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=87125</guid>

					<description><![CDATA[The traditional career pathway for most scientists is to get a degree, a postdoc, and then a permanent position. But in the 21st century, a PhD no longer ensures security or a smooth career path. Your career plan&#160;is in your hands, and this means you must proactively control your professional identity. Two forces are challenging...]]></description>
		
		
		
			</item>
		<item>
		<title>How to Interpret IC50 and Kd: What Each Measurement Really Tells You (and Why They’re Different)</title>
		<link>https://bitesizebio.com/87046/how-to-interpret-ic50-and-kd/</link>
		
		<dc:creator><![CDATA[Promega]]></dc:creator>
		<pubDate>Tue, 10 Feb 2026 12:45:00 +0000</pubDate>
				<category><![CDATA[Chemistry for Biologists]]></category>
		<category><![CDATA[Promega]]></category>
		<category><![CDATA[Binding affinity]]></category>
		<category><![CDATA[Drug–target interactions]]></category>
		<category><![CDATA[IC50]]></category>
		<category><![CDATA[Kd]]></category>
		<category><![CDATA[Lead optimization]]></category>
		<category><![CDATA[sponsored]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=87046</guid>

					<description><![CDATA[IC₅₀ and Kd are widely used in drug discovery, but they answer different questions. This article explains how to interpret IC₅₀ and Kd correctly, why they’re not directly comparable, and how combining both metrics leads to better compound prioritization and decision-making.]]></description>
		
		
		
			</item>
		<item>
		<title>Expansion Microscopy: Achieving Nanoscale Resolution Using Conventional Microscopes</title>
		<link>https://bitesizebio.com/86904/expansion-microscopy/</link>
		
		<dc:creator><![CDATA[Shreya Pramanik]]></dc:creator>
		<pubDate>Tue, 03 Feb 2026 09:09:23 +0000</pubDate>
				<category><![CDATA[Microscopy and Imaging]]></category>
		<category><![CDATA[Microscope]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=86904</guid>

					<description><![CDATA[Optical microscopy has always been restricted by the diffraction of light. Because conventional widefield and confocal microscopes cannot resolve structures substantially smaller than about 200nm laterally, they miss critical signaling compartments and nanoscopic organization. Newer super-resolution technologies, such as stimulated emission depletion (STED), structured illumination microscopy (SIM), and photoactivated localization microscopy (PALM), solve this problem...]]></description>
		
		
		
			</item>
		<item>
		<title>How To Optimize Bioluminescence Assays for High-sensitivity Detection</title>
		<link>https://bitesizebio.com/86980/optimize-bioluminescence-assays/</link>
		
		<dc:creator><![CDATA[Promega]]></dc:creator>
		<pubDate>Fri, 30 Jan 2026 13:45:00 +0000</pubDate>
				<category><![CDATA[Bioscience Mastery]]></category>
		<category><![CDATA[Promega]]></category>
		<category><![CDATA[Assay optimization]]></category>
		<category><![CDATA[Bioluminescence]]></category>
		<category><![CDATA[luciferase]]></category>
		<category><![CDATA[sponsored]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=86980</guid>

					<description><![CDATA[To generate reliable quantitative bioluminescent data, you need more than a strong luciferase signal. Optimize bioluminescence assays for high-sensitivity detection by controlling substrate handling, timing, plate-reader settings, and normalization so technical noise doesn't mask real biology. From luciferase and substrate choice to reader optimisation and in vivo bioluminescent imaging workflows, these practical strategies help you produce reproducible, interpretable data you can trust.]]></description>
		
		
		
			</item>
		<item>
		<title>Mass Photometry: An Easy Way to Determine Protein Oligomerization and Heterogeneity</title>
		<link>https://bitesizebio.com/86778/measure-protein-oligomerization-mass-photometry/</link>
		
		<dc:creator><![CDATA[Vandana MIshra]]></dc:creator>
		<pubDate>Wed, 14 Jan 2026 15:17:36 +0000</pubDate>
				<category><![CDATA[Microscopy and Imaging]]></category>
		<category><![CDATA[Protein Expression and Analysis]]></category>
		<category><![CDATA[Label-Free Biophysics]]></category>
		<category><![CDATA[mass photometry]]></category>
		<category><![CDATA[Protein Complexes & Aggregation]]></category>
		<category><![CDATA[Protein Heterogeneity]]></category>
		<category><![CDATA[Protein Oligomerization]]></category>
		<category><![CDATA[Single-Molecule Analysis]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=86778</guid>

					<description><![CDATA[Mass photometry (MP) is a fast, label-free way to check protein oligomerization, heterogeneity, and complex formation using only ~10 µL of sample at 10–50 nM. It detects single molecules as they land on a glass coverslip, converts scattering contrast to molecular mass using standards (e.g., BSA), and outputs a histogram where peaks reveal monomers, dimers, higher oligomers, and aggregates with their relative abundance. MP supports quick go/no-go decisions and sample quality control before cryo-EM, crystallography, or binding studies. Good prep (clean coverslips, calibration, filtering/spinning, and ≥90–95% purity) keeps peaks sharp and interpretable. Know the limits: <30 kDa proteins and complexes may be missed.]]></description>
		
		
		
			</item>
		<item>
		<title>The Recombinant Revolution: Experimental Optimization with Recombinant Antibodies and Epitope Mapping</title>
		<link>https://bitesizebio.com/86492/experimental-optimization-with-recombinant-antibodies-and-epitope-mapping/</link>
		
		<dc:creator><![CDATA[Proteintech]]></dc:creator>
		<pubDate>Fri, 09 Jan 2026 09:45:00 +0000</pubDate>
				<category><![CDATA[Protein Expression and Analysis]]></category>
		<category><![CDATA[Proteintech]]></category>
		<category><![CDATA[antibodies]]></category>
		<category><![CDATA[ELISA]]></category>
		<category><![CDATA[Flow cytometry]]></category>
		<category><![CDATA[protein expression]]></category>
		<category><![CDATA[recombinant antibodies]]></category>
		<category><![CDATA[sponsored]]></category>
		<guid isPermaLink="false">https://bitesizebio.com/?p=86492</guid>

					<description><![CDATA[Effective experimental design depends on choosing antibodies that match your target and assay conditions. This article explains how experimental optimization with recombinant antibodies and epitope mapping can improve consistency, reveal precise binding interactions, and support better reagent selection, enabling you to design assays that deliver more reliable, reproducible results.]]></description>
		
		
		
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